Gang Wu
Software Engineer at The Apache Software Foundation
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolGang Wu is a software engineer with 11 years of experience building large-scale data systems and a deep focus on columnar formats and storage engines. Based in Bellevue, he has been a key contributor and PMC member across Apache ORC, Parquet, and Arrow, and is a committer on Iceberg—work that includes modernizing C++ codebases, implementing compression codecs, and improving parquet/decimal handling. He’s applied this expertise at Alibaba (MaxCompute) and Uber (Hadoop/Spark tooling) and now helps build a multi-cloud open lakehouse at Singdata. Gang’s contributions span critical, performance-sensitive areas (decoders, writers, dictionary encoding, and interop tests) and reveal a knack for reducing dependencies and modernizing legacy code. His academic background from USTC and CMU complements a rare combination of deep systems-level C++ competence and practical cloud-scale engineering.
11 years of coding experience
6 years of employment as a software developer
Master's Degree, Signal and Information Processing, Master's Degree, Signal and Information Processing at University of Science and Technology of ChinaMaster of Science in Information Technology, Computer Science, Master of Science in Information Technology, Computer Science at Carnegie Mellon University
English, Chinese
Github Skills (20)
avro10
c-language10
back-end-development10
data-serialization10
java10
serialization10
apache-arrow10
javas10
junit10
code-migration10
orc10
jtest10
parquet10
cprogramming-language10
data-structure9
Programming languages (11)
Github contributions (5)
apache/parquet-java
Nov 2022 - Jan 2023
Apache Parquet Java
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 723 reviews, 3 commits in 2 months
Contributions summary:Gang's contributions focused on enhancing the Apache Parquet Java library. They implemented support for the LZ4_RAW compression codec, including interop tests and integration with existing compression testing frameworks. Further work involved adding and modifying compression codec support within the TestCompressionCodec class, enhancing the library's ability to handle various data compression methods. These changes involved modifying existing test files and integrating new codec functionalities, demonstrating a deep understanding of compression techniques and Java development.
avroparquetapachebig-dataapache-parquet
apache/orc
Apr 2017 - Dec 2022
Apache ORC - the smallest, fastest columnar storage for Hadoop workloads
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 releases, 479 reviews, 50 commits in 5 years 8 months
Contributions summary:Gang primarily contributed to the Apache ORC project by implementing and refactoring core C++ components. Their work involved fixing bugs in decoders and writers, such as correcting byte and boolean RLE decoders and resolving decimal constructor issues. The user also added functionality like a method to build type from string and refactored column statistics and column writers. Furthermore, the user created a tool to import CSV files and implemented String dictionary encoding for the C++ writer.
orccppworkloadscolumnar-storagefastest
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