Zhenhua Wang
Senior Staff Engineer at The Apache Software Foundation
Hangzhou City, Zhejiang, China
Summary
🤩
Rockstar🎓
Top SchoolZhenhua Wang is a Senior Staff Engineer with a decade of experience building distributed systems, big data frameworks, and cloud-native compute engines, currently leading the Compute Engine team for AnalyticDB for MySQL at Alibaba Cloud. He combines deep research pedigree—a PhD from Zhejiang University focused on spatial databases and web data mining—with hands-on product engineering from Huawei’s LakeHouse work to production-grade analytics. An active Apache Spark committer, he has made notable contributions to Spark SQL and partition pruning logic, improving accuracy and robustness in a widely used open-source analytics engine. Based in Hangzhou, he blends research rigor with pragmatic system design, and is known for tracing subtle SQL/estimation bugs through to scalable fixes in large-scale data processing pipelines.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Research interests include spatial databases, recommender systems and web data mining, Doctor of Philosophy (Ph.D.), Research interests include spatial databases, recommender systems and web data mining at Zhejiang University
Github Skills (4)
sql10
data-engineering10
apache-spark10
performance-optimization9
Programming languages (4)
Github contributions (5)
apache/spark
Mar 2017 - Sep 2020
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:33 reviews, 6 commits, 116 PRs in 3 years 6 months
Contributions summary:Zhenhua contributed to the Apache Spark project by addressing several SQL-related issues and enhancing its capabilities. Their work included fixing a bug related to approximate percentile calculation, supporting the generation and loading of table-level statistics, and improving the estimation of the size of data by row counts. Furthermore, the user improved the dynamic partition pruning logic, fixing an error related to empty broadcast and also modified the function lookup to avoid failing twice.
analyticspythondata-processingsqlapache
wzhfy/spark
Aug 2016 - Feb 2022
Mirror of Apache Spark
Contributions:4 PRs, 409 pushes, 126 branches in 5 years 6 months
spark-mlapachebig-datasparkscala
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