Rahul Potharaju is a Director of Engineering at Databricks with 12+ years building planet-scale data and analytics platforms, specializing in Delta Lake, Spark runtimes, and storage systems. A founding member of Azure Synapse Analytics, he led Spark reliability, performance and GPU-accelerated runtimes for hyperscale customers and helped open-source projects like Hyperspace and .NET for Apache Spark. His career blends deep research (PhD from Purdue) and product engineering, contributing to systems such as Cosmos, Azure Data Lake, and a hyperscale indexing system that processes quadrillions of events. Rahul has authored papers at VLDB/NSDI/SoCC and holds 30+ patents, reflecting a knack for turning research into production impact. Based in San Francisco, he pairs hands-on full‑stack contributions (notably Spark.NET notebooks and Delta Lake GDPR examples) with cross-company collaborations across academia and industry.
12 years of coding experience
17 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
PhD, Computer Science, PhD, Computer Science at Purdue University
MS, Computer Science, MS, Computer Science at Northwestern University
Contributions:3 reviews, 6 commits, 4 PRs in 21 days
Contributions summary:Rahul primarily contributes to the .NET for Apache Spark examples within the Azure Synapse Analytics repository. Their work focuses on creating and updating tutorials and notebooks, specifically for Spark.NET, showcasing how to interact with Apache Spark using C# and the .NET framework. They are also responsible for implementing features like using Delta Lake for updates and GDPR compliance, demonstrating a range of skills from data manipulation to applying database operations.
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Contributions:4 pushes in 1 year 1 month
dotnetaccessibleapachesparkapache-spark
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