Data Engineer at Datavail Infotech Pvt. Ltd. — USA | Base Career

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Azure Data Engineer with 6+ years of experience designing, developing, and optimizing enterprise-scale data platforms using Microsoft Azure and Snowflake
Proven expertise in building scalable data pipelines, data warehouses, and analytics solutions leveraging Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Snowflake, Python, SQL, and Spark
Experienced in data modeling, ETL/ELT development, cloud migration, performance tuning, data governance, and implementing CI/CD practices
Strong background in integrating data from multiple sources and enabling business intelligence and advanced analytics solutions Key Skills:

Design, develop, and maintain scalable data engineering solutions on Azure and Snowflake platforms
Build and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake to ingest, transform, and load data from various structured and unstructured sources
Develop and maintain enterprise data warehouses, data marts, and analytical datasets supporting reporting, BI, and advanced analytics initiatives Implement data transformation and orchestration processes using PySpark, SQL, Python, and Snowflake stored procedures
Design and manage cloud-based data lakes using Azure Data Lake Storage (ADLS Gen2) and Delta Lake architecture
Collaborate with business stakeholders, data analysts, and architects to gather requirements and translate them into scalable data solutions
Monitor and optimize data pipeline performance, ensuring reliability, scalability, and cost efficiency

Data Engineer