Shohei Okumiya
Apache Hive PMC Member at The Apache Software Foundation
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolShohei Okumiya is a seasoned software engineer with 13 years of experience building data platforms and web services from Tokyo, currently contributing to Treasure AI while serving as an Apache Hive Committer and PMC Member. He brings deep back-end expertise in large-scale data processing and query optimization, having implemented stats annotation rules and fixes for ARRAY joins and COLLECT_SET in the widely used Apache Hive project. His career spans authentication services and platform engineering at Dwango, giving him a pragmatic understanding of production reliability and developer tooling. Combining an economics background from Waseda with hands-on open source stewardship, he excels at translating complex data challenges into maintainable, performance-focused code.
13 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at Waseda University
Japanese, English
Github Skills (8)
javas10
hive10
sql10
java10
apache9
database9
big-data9
databases9
Programming languages (14)
Github contributions (5)
apache/hive
Jan 2021 - Jun 2022
Apache Hive
Role in this project:
Back-end Developer
Back-end DeveloperContributions:367 reviews, 3 commits, 79 PRs in 1 year 5 months
Contributions summary:Shohei primarily contributed to the Apache Hive project, focusing on enhancing its features and fixing bugs related to data processing and query optimization. Their work involved implementing a stats annotation rule for the LateralViewJoinOperator and addressing issues related to ARRAY join keys and the COLLECT_SET function. Furthermore, the user worked on improving the error messages, and refactoring related components.
flinksqlapachebig-dataspark
zookage/tez
Jul 2020 - Oct 2024
Mirror of Apache Tez
Contributions:6 pushes, 17 branches, 21 tags in 4 years 3 months
javaapachetez
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