Tejas Modi

I've led enterprise data warehouse modernization and cloud migration initiatives at EPAM Systems, building reusable Google Cloud ingestion frameworks for database and file-based workloads.

I designed metadata-driven Dataflow pipelines, Cloud Run components, and Cloud Composer DAGs to move data from Oracle, PostgreSQL, and SFTP sources into Google Cloud Storage, AlloyDB, and BigQuery. My work includes data quality checks, reconciliation, audit controls, deployment processes, and production support.

Across banking, telecommunications, automotive, and retail projects, I've built batch and streaming pipelines with Spark, Dataproc, Apache Beam, Pub/Sub, Dataflow, DBT, Hadoop, Hive, Sqoop, and BigQuery.

I've also led architecture discussions, migration POCs, code reviews, and client walkthroughs while mentoring engineers and helping teams adopt scalable, cloud-ready data engineering practices.