At Gen Technologies, I worked on a healthcare analytics platform bringing patient administration, clinical activity, billing and CRM data into an Azure Lakehouse. I built 35+ Azure Data Factory pipelines and developed Databricks and Synapse Spark transformations to prepare patient and billing data for reporting.
I shaped bronze, silver and gold layers on ADLS Gen2 and Delta Lake, and tuned Spark jobs to reduce nightly processing time by about 30%. I also configured secure API ingestion and applied Purview and Unity Catalog controls to patient-identifiable data.
For Bank of Baroda, I implemented Azure pipelines and Databricks jobs for a retail banking platform processing about 15 million transactions a day. I structured customer and account history with SCD Type 2 and optimized the daily load from around four hours to 90 minutes.
Earlier, I worked on finance and sales reporting for DLF Housing and life-insurance MI for Edelweiss Life Insurance. I used SAP and SQL Server data to build reporting datasets and models, including work that reduced month-end report preparation from around three days to one day.
