Min Yang is a Senior Software Engineer based in Mountain View with 4 years of experience focused on database infrastructure and cloud-native systems. At Google he helped design Procella Batch, leading a migration of 1,200+ YouTube ETL pipelines and delivering substantial performance and cost improvements, and built adaptive shuffle algorithms that cut shuffled rows and optimized join strategies in production. Now at Databricks, he continues to operate at the intersection of large-scale data processing and system design. He holds advanced training from Carnegie Mellon and dual undergraduate degrees, and has repeatedly turned low-level C++ systems work into measurable platform savings and developer productivity gains. Notably, his background spans both OLAP query engine internals and service-mode integrations that make batch engines accessible to web and CLI users.
4 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Simon Fraser University
Master's degree, Information Networking, Master's degree, Information Networking at Carnegie Mellon University
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Zhejiang University
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Contributions:2 pushes, 1 branch in 2 days
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