At CGI, I designed, built, and maintained Google Cloud data pipelines for a Tier-1 banking client, processing 600M+ transactions daily with 99.9% uptime. The platform enabled near-real-time analytics.
I modernized batch workloads with PySpark on Dataproc and Cloud Composer, cutting processing time by 75%. Kafka and PySpark Streaming pipelines reduced data latency by 50%.
I designed BigQuery schemas and optimized financial datasets, reducing query costs by 40%. I also applied BigQuery ML to transaction data and implemented data protections for GDPR and RBI requirements.
Earlier, at Sonata Software Pvt. Ltd, I led a team of 12 engineers on enterprise retail data migration and ETL projects. My experience also includes Oracle PL/SQL development and banking applications at CGI and Oracle Financial Services.

