srivarsha User

I’m a Data Engineer with 3+ years of experience designing and implementing scalable, cloud-based data pipelines and analytics solutions. I focus on Azure lakehouse and warehousing patterns, using Azure Databricks, Data Factory, and data lake architectures to turn raw data into reliable, data-driven insights.

I’ve migrated legacy systems to cloud platforms, including DB2, on-prem SQL, and Oracle, and improved efficiency while maintaining performance and reliability. I’ve built and optimized data processing with PySpark and Spark SQL, including SCD table loading, upsert logic for large datasets, and performance improvements (including a reported 30% boost in data load performance).

I enjoy end-to-end delivery—supervising ADF pipelines and Control-M jobs, driving production deployments, and supporting governance by documenting PII columns and mapping source-to-target tables for compliance. I also lead KT sessions to accelerate onboarding and knowledge transfer in Agile environments.