Sunil Palepu is a Senior Data Engineer based in the San Francisco Bay Area with eight years of hands-on experience designing and implementing large-scale data warehouses and BI platforms for enterprises like Netflix, Williams-Sonoma, and Charles Schwab. He blends deep data architecture and modeling expertise (dimensional and 3NF) with broad tooling fluency across Hadoop/Spark/Kafka, cloud services (AWS EMR/S3/Redshift), ETL platforms (Informatica, Ab Initio) and databases from Teradata to Presto. Known for pragmatic automation and scheduling at scale, he has driven data integration and performance improvements across complex, heterogeneous stacks. His background spans low-level programming (Scala, Python, Java, C/C++) to high-level analytics and reporting (Tableau, MicroStrategy), enabling him to bridge engineering and business intelligence effectively. An MS in Computer Science and a track record of architecting production-grade DW solutions hint at a preference for durable, auditable designs rather than quick fixes.
8 years of coding experience
8 years of employment as a software developer
BS Computer Science, BS Computer Science at Kakatiya University
MS Computer Science, MS Computer Science at University of Wollongong
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