About Me
Azure Data Engineer with 4years of experience in designing and implementing scalable ETL/ELT solutions on Microsoft Azure. Hands-on expertise in Azure Data Factory (ADF), Azure Databricks, PySpark, Azure Synapse Analytic…
Azure Data Engineer with 4years of experience in designing and implementing scalable ETL/ELT solutions on Microsoft Azure. Hands-on expertise in Azure Data Factory (ADF), Azure Databricks, PySpark, Azure Synapse Analytics, Microsoft Fabric, ADLS Gen2, and SQL databases. Experienced in building metadata-driven data ingestion and transformation frameworks, implementing incremental and full-load strategies, and optimizing SQL and Spark workloads. Strong understanding of Lakehouse, Data Warehouse, and modern data architecture patterns using Microsoft Fabric and Azure technologies. Proficient in CI/CD deployment processes, source control, and promoting data solutions across Dev, UAT, and Production environments. Experienced in working within Agile/Scrum sprint-based development environments, including sprint planning, development, testing, and release activities. Performs unit testing, data validation, and data quality checks to ensure accuracy and reliability of data pipelines. Strong exposure to production support, troubleshooting, performance optimization, and enterprise-grade data engineering solutions.
Experience
Data Engineer Consultant
<p>Developed and maintained ETL/ELT pipelines using Azure Data Factory and Azure Synapse Analytics to ingest data from SQL Server, databases, flat files and other source systems into ADLS Gen2.</p><p> Built metadata-driven pipelines to process multiple tables using configuration-driven parameters such as source table, target path, load type and watermark columns.</p><p> Implemented both full-load and incremental-load patterns using watermark columns and last processed timestamps to load only new or changed records where applicable.</p><p> Worked with Azure Synapse Analytics, Dedicated SQL Pools, Serverless SQL Pools and SQL Server for data transformation, querying and data processing.</p><p> Developed SQL queries, stored procedures, views, CTEs and window functions to support data transformation and business requirements.</p><p> Implemented Slowly Changing Dimension (SCD) Type 1 and Type 2 logic to maintain current and historical dimension data.</p><p> Worked on Star Schema data modelling, including fact and dimension tables, to organize data for analytical requirements.</p><p> Implemented a Medallion Architecture using ADLS Gen2, organizing data into Bronze, Silver and Gold layers.</p><p> Performed unit testing, source-to-target validation, record-count checks, duplicate checks, null checks and data-quality validations before promoting changes.</p><p> Followed Agile/Scrum development practices, participating in sprint planning, development, testing, defect resolution and deployment activities.</p><p> Monitored pipeline executions, investigated failures and supported troubleshooting of SQL, Synapse and data-loading issues.</p>