Rahul Ega is a Senior Data Engineer based in New Jersey and open to roles across the United States (remote, hybrid, or on-site) with 5+ years building batch and streaming pipelines and analytical data platforms across technology, financial services, and capital markets.
Day to day he ships reliable data products with PySpark, Python, SQL, Azure, Snowflake, dbt, Kafka, and Airflow — from real-time event ingestion to warehouse models that analytics teams trust.
He focuses on performance, data quality, and clear interfaces between source systems, lakehouse layers, and downstream consumers so pipelines stay maintainable under load.