Angers Zhu

Big Data Developer

Hong Kong, China
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Summary

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Rockstar
Angers Zhu is a Big Data Developer based in Hong Kong with seven years of experience building and hardening distributed data systems. Currently at OOCL, he focuses on backend engineering for high-throughput, fault-tolerant pipelines and shuffle services. He is an active open-source contributor to flagship Apache projects—Kyuubi, Spark, and Celeborn—where his work strengthened authorization, improved Thrift server visibility, and fixed critical shuffle/data-retry bugs. His contributions reveal a practical blend of performance tuning, security-aware privilege checks, and robustness improvements for SQL-on-data-lake tooling. Colleagues can rely on him to translate subtle edge cases into reliable production fixes across the data stack.
code7 years of coding experience
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Github Skills (21)

apache-spark10
authorizations10
spark10
back-end-development10
big-data10
java10
scala10
javas10
shuffle10
sql10
authorization10
data-processing10
distributed-systems9
configuration-management9
performance-optimization9

Programming languages (5)

JavaC++ShellScalaHTML

Github contributions (5)

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apache/celeborn

Mar 2022 - Jan 2023

Apache Celeborn is an elastic and high-performance service for shuffle and spilled data.
Role in this project:
userBack-end Developer
Contributions:949 reviews, 165 commits, 526 PRs in 10 months
Contributions summary:Angers primarily contributed to the back-end development of the Apache Celeborn project. Their work focused on fixing bugs related to data handling, configuration, and retry mechanisms within the shuffle service. They also refactored various configuration elements and implemented features such as customizable retry times and improved error logging. The user's commits demonstrate a strong understanding of the project's core functionality related to shuffle and data management.
bigdataaccumuloparquetelasticconnector
apache/spark

Jul 2020 - Aug 2022

Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
userBack-end Developer
Contributions:1865 reviews, 94 commits, 463 PRs in 2 years 1 month
Contributions summary:Angers primarily contributed to back-end development within the Apache Spark project, focusing on areas like shuffle operations and the Thrift server. Their contributions included bug fixes related to network block transfer, implementing features to display SQL job status in the JDBC UI tab of the Thrift server, and resolving issues with the parsing of interval types. The user demonstrated an understanding of data processing, performance optimization, and interacting with internal components of the Spark ecosystem.
analyticspythondata-processingsqlapache
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