Lyft’s business has grown over 100x in the past four years. Shenghu Yang explains how Lyft’s data pipeline has evolved over the years to serve its ever-growing analytics use cases, migrating from the world’s largest AWS Redshift clusters to Apache Hive and Presto for solving scalability and concurrency hard limits.
Shenghu Yang is an engineering manager at Lyft, where he was a founding member of the company’s data platform team and now runs the data tools team. Previously, Shenghu worked at Oracle and @WalmartLabs on cloud computing and digital marketing-related engineering work. He holds an MS from Carnegie Mellon University.
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