
Speaker: Rajasekhar Ummadisetty
He / him / his
Software Engineer @Netflix - Driving Scalable Data Abstractions, Leader in Distributed Systems and Data Management, Previously @Amazon and @Facebook
Raj Ummadisetty is a leading professional with over a decade of experience in solving distributed systems problems at scale. He currently leads the development of data abstractions at Netflix, focusing on scalable, high-performance solutions. Previously, Raj contributed significantly at Amazon and Facebook, where he honed his expertise in building systems at scale. He holds advanced degrees from Carnegie Mellon University and IIT Roorkee, providing a solid academic foundation. Known for his passion for continuous learning and staying abreast of industry trends, Raj consistently drives innovation and efficiency, making him a key player in distributed systems and data management.
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Session
Accelerating Netflix Data: A Cross-Team Journey from Offline to Online
At Netflix, certain use cases demand the rapid transfer of massive datasets—such as 50 TB—from offline to online systems. Doing this efficiently, without disrupting applications interacting with our online systems, presents a significant challenge.