Deepa Vijayaraghavan

Leading cloud data engineering for large-scale migrations and analytics platforms, turning legacy pipelines into reliable, cost-efficient AWS and Databricks solutions that business, reporting and ML teams depend on every day. Key highlights: Took 25+ business-critical pipelines from on-premise to AWS, rebuilding Spark ingestion on Amazon EMR and transformations on Databricks, with no disruption to the teams relying on the data. Designed a layered Spark platform that brings batch, real-time Kafka streams

IT Analyst – Big Data Lead Operations Engineer Led a team of 5 data engineers running and optimising ETL and big data workloads across on-premise and Azure, using Airflow, Azure Data Factory, Control-M and YARN, and cut job downtime and manual intervention by 30%+ through automation that detects and resolves long-running jobs. Owned data solutions end to end, from analysis and design to deployment, across Agile and Waterfall projects, and wrote documentation that streamlined team onboarding.

Associate – Mainframe Developer Built batch programs with COBOL, JCL, VSAM, DB2 and CICS, leading impact analysis, coding, testing and implementation of enhancements on DB2 data systems. Managed Continuity of Business activities alongside project delivery to keep critical operations protected.