At HCLTech, I build serverless ETL pipelines with Cloud Dataflow and Pub/Sub, improving real-time enterprise data throughput by 30%. I also optimize BigQuery warehouses through partitioning and clustering, reducing query latency and analytics costs by 40%.
Previously at Tech Mahindra, I migrated 300,000+ records from on-premise systems to Cloud SQL and MongoDB, enabling cloud-based analytics. I built batch ETL workflows in SQL and Python, improved data models and query performance, and delivered analytics-ready datasets for reporting teams.
I work across BigQuery, Dataflow, Cloud Composer, Pub/Sub, Python, SQL, Docker, GKE, and cloud monitoring to deliver secure, reliable batch and streaming data platforms.
