Engineering Lead/Azure Solution Architect

%3Cdiv%3E%26nbsp;%3C/div%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ESenior Azure Solution Architect/Engineering Lead%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ECore Skills:%3C/strong%3E Azure Databricks, PySpark, Spark, SQL, Azure Synapse, Kafka, Big Data, Python, Java, Azure Data Factory (ADF)%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EProfessional Summary%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ESenior Data Architect with 15+ years of experience designing, building, and scaling enterprise-grade data platforms. Proven expertise in cloud-native big data architectures on Azure, real-time and batch data processing, and high-performance analytics systems. Strong background in data modeling, distributed computing, and end-to-end data pipeline orchestration, with hands-on leadership in large-scale enterprise and mission-critical projects.%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ETechnical Expertise%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ECloud %26amp; Data Platforms%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAzure Databricks (Lakehouse architecture, Delta Lake, Unity Catalog)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAzure Synapse Analytics (Dedicated %26amp; Serverless Pools)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAzure Data Factory (ADF) for ELT/ETL orchestration%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAzure Data Lake Storage Gen2%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EBig Data %26amp; Distributed Processing%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l4 level1 lfo2;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EApache Spark (Core, SQL, Structured Streaming)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l4 level1 lfo2;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EPySpark performance tuning %26amp; optimization%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l4 level1 lfo2;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EApache Kafka (real-time ingestion, streaming pipelines)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l4 level1 lfo2;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ELarge-scale batch and streaming data architectures%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EProgramming %26amp; Query Languages%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EPython (advanced data engineering, automation, frameworks)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EJava (Spark internals, Kafka consumers/producers, microservices)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ESQL (complex analytics, query optimization, warehouse design)%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EData Architecture %26amp; Design%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ELakehouse, Lambda, and Kappa architectures%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EDimensional modeling %26amp; data warehouse design%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EData governance, security, and lineage%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EScalability, fault tolerance, and cost optimization%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3ETechnical depth in designing and building data platforms for high volume data processing with low latency%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EStrong Expertise in Azure, Databricks, Python, Pyspark, SparkSQL, CI-CD (Jenkins, Github), Obs (Dynatrace),%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;%22%3E%26nbsp;%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EGood to have : Java, Kafka , Casandra, Microservices, API, Flink, ZeroMQ, Protocol Buffers%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EExperience in recruiting , people leadership for managing team of 40+ , govern delivery and also act as technical mentor to set processes to bring innovation, goals to derive business outcomes%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;%22%3E%26nbsp;%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EAct as Module lead for India operations, liaise with NA teams to drive the objectives%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%26nbsp;%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EKey Responsibilities %26amp; Achievements%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EArchitected and delivered enterprise-scale %3Cstrong%3EAzure Lakehouse platforms%3C/strong%3E supporting petabyte-scale data.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EDesigned %3Cstrong%3Ereal-time streaming solutions%3C/strong%3E using Kafka and Spark Structured Streaming.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ELed migration of on-premise data warehouses to %3Cstrong%3EAzure Synapse + Databricks%3C/strong%3E, improving performance and reducing cost.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EBuilt reusable %3Cstrong%3EPySpark frameworks%3C/strong%3E for data ingestion, transformation, and validation.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EOptimized Spark jobs through partitioning, caching, and memory tuning to achieve significant runtime improvements.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EImplemented end-to-end %3Cstrong%3EADF pipelines%3C/strong%3E with CI/CD and parameter-driven orchestration.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EMentored senior and junior engineers; provided architectural guidance across multiple teams.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ECollaborated with business stakeholders to translate analytics requirements into scalable technical designs.%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ELeadership %26amp; Soft Skills%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l5 level1 lfo6;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ETechnical leadership and architectural decision-making%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l5 level1 lfo6;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ECross-team collaboration and stakeholder communication%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l5 level1 lfo6;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EDesign reviews, code quality standards, and best practices%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l5 level1 lfo6;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAgile/Scrum execution in large enterprise environments%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l6 level1 lfo7;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EFunctional experience of capital markets, securities processing will be advantage%3C/span%3E%3C/span%3E%3C/p%3E%3Cp%3E%26nbsp;%3C/p%3E %3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ESenior Azure Solution Architect/Engineering Lead%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ECore Skills:%3C/strong%3E Azure Databricks, PySpark, Spark, SQL, Azure Synapse, Kafka, Big Data, Python, Java, Azure Data Factory (ADF)%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EProfessional Summary%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ESenior Data Architect with 15+ years of experience designing, building, and scaling enterprise-grade data platforms. Proven expertise in cloud-native big data architectures on Azure, real-time and batch data processing, and high-performance analytics systems. Strong background in data modeling, distributed computing, and end-to-end data pipeline orchestration, with hands-on leadership in large-scale enterprise and mission-critical projects.%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ETechnical Expertise%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ECloud %26amp; Data Platforms%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAzure Databricks (Lakehouse architecture, Delta Lake, Unity Catalog)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAzure Synapse Analytics (Dedicated %26amp; Serverless Pools)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAzure Data Factory (ADF) for ELT/ETL orchestration%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l0 level1 lfo1;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAzure Data Lake Storage Gen2%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EBig Data %26amp; Distributed Processing%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l4 level1 lfo2;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EApache Spark (Core, SQL, Structured Streaming)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l4 level1 lfo2;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EPySpark performance tuning %26amp; optimization%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l4 level1 lfo2;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EApache Kafka (real-time ingestion, streaming pipelines)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l4 level1 lfo2;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ELarge-scale batch and streaming data architectures%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EProgramming %26amp; Query Languages%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EPython (advanced data engineering, automation, frameworks)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EJava (Spark internals, Kafka consumers/producers, microservices)%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l2 level1 lfo3;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ESQL (complex analytics, query optimization, warehouse design)%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EData Architecture %26amp; Design%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ELakehouse, Lambda, and Kappa architectures%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EDimensional modeling %26amp; data warehouse design%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EData governance, security, and lineage%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EScalability, fault tolerance, and cost optimization%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3ETechnical depth in designing and building data platforms for high volume data processing with low latency%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EStrong Expertise in Azure, Databricks, Python, Pyspark, SparkSQL, CI-CD (Jenkins, Github), Obs (Dynatrace),%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;%22%3E%26nbsp;%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EGood to have : Java, Kafka , Casandra, Microservices, API, Flink, ZeroMQ, Protocol Buffers%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EExperience in recruiting , people leadership for managing team of 40+ , govern delivery and also act as technical mentor to set processes to bring innovation, goals to derive business outcomes%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;%22%3E%26nbsp;%3C/p%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l1 level1 lfo4;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EAct as Module lead for India operations, liaise with NA teams to drive the objectives%3C/span%3E%3C/span%3E%3C/p%3E%3Cp class=%22MsoNormal%22%3E%26nbsp;%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3EKey Responsibilities %26amp; Achievements%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EArchitected and delivered enterprise-scale %3Cstrong%3EAzure Lakehouse platforms%3C/strong%3E supporting petabyte-scale data.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EDesigned %3Cstrong%3Ereal-time streaming solutions%3C/strong%3E using Kafka and Spark Structured Streaming.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ELed migration of on-premise data warehouses to %3Cstrong%3EAzure Synapse + Databricks%3C/strong%3E, improving performance and reducing cost.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EBuilt reusable %3Cstrong%3EPySpark frameworks%3C/strong%3E for data ingestion, transformation, and validation.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EOptimized Spark jobs through partitioning, caching, and memory tuning to achieve significant runtime improvements.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EImplemented end-to-end %3Cstrong%3EADF pipelines%3C/strong%3E with CI/CD and parameter-driven orchestration.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EMentored senior and junior engineers; provided architectural guidance across multiple teams.%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l3 level1 lfo5;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ECollaborated with business stakeholders to translate analytics requirements into scalable technical designs.%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoNormal%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3E%3Cstrong%3ELeadership %26amp; Soft Skills%3C/strong%3E%3C/span%3E%3C/span%3E%3C/p%3E%3Cul style=%22margin-top:0cm;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l5 level1 lfo6;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ETechnical leadership and architectural decision-making%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l5 level1 lfo6;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3ECross-team collaboration and stakeholder communication%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l5 level1 lfo6;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EDesign reviews, code quality standards, and best practices%3C/span%3E%3C/span%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22mso-list:l5 level1 lfo6;tab-stops:list 36.0pt;%22%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22line-height:115%;%22%3EAgile/Scrum execution in large enterprise environments%3C/span%3E%3C/span%3E%3C/li%3E%3C/ul%3E%3Cp class=%22MsoListParagraph%22 style=%22line-height:normal;margin-bottom:0cm;mso-list:l6 level1 lfo7;tab-stops:list 36.0pt;text-indent:-18.0pt;%22%3E%3Cspan style=%22font-family:Symbol;font-size:10.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E·%3C/span%3E%3Cspan style=%22font:7.0pt %26quot;Times New Roman%26quot;;mso-ansi-language:EN-US;mso-bidi-font-family:Symbol;mso-bidi-font-size:11.0pt;mso-fareast-font-family:Symbol;mso-list:Ignore;%22 lang=%22EN-US%22%3E%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp;%26nbsp; %3C/span%3E%3C/span%3E%3Cspan style=%22font-family:%26quot;Calibri%26quot;,sans-serif;font-size:11.0pt;%22%3E%3Cspan style=%22mso-ansi-language:EN-US;mso-fareast-font-family:%26quot;Times New Roman%26quot;;%22 lang=%22EN-US%22%3EFunctional experience of capital markets, securities processing will be advantage%3C/span%3E%3C/span%3E%3C/p%3E