Sathyaprakash Govindasamy is a Senior Software Engineer specializing in big data and data warehousing with over a decade of experience building scalable ETL pipelines, dimensional models, and BI solutions for enterprise teams. He combines deep Spark (Scala) expertise—including performance tuning and Kafka/S3 incremental ingestion—with hands-on experience in Redshift, Hive, Airflow, and AWS services to move and shape massive datasets into production-grade fact and dimension tables. Comfortable across both modern cloud stacks and classic Microsoft BI (SSIS/SSAS/PowerBI), he also writes reusable Python libraries and custom Airflow operators to standardize and automate complex workflows. At Zillow Group and Nordstrom he focused on operational reliability (24/7 on-call), data validation/manifests, and query tuning to meet SLAs, and he mentors teams to apply Kimball best practices across the project lifecycle. Notably, he blends systems-level understanding of Spark internals and distributed systems with practical data engineering patterns that bridge analytics needs and production constraints.
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Sathyaprakash Govindasamy - Senior Software Engineer, Big Data