Jony Sun
Founder & CEO at Tencent
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJony Sun is a seasoned engineering leader and founder with 10 years of experience building data-driven products and teams across Silicon Valley. He led early UberEATS engineering efforts and later built Courier Engagement systems focused on geo-temporal forecasting and real-time supply positioning to improve courier earnings and transparency. As Founder & CEO of omnihealth.ai he’s applying AI to make health management more predictive and accessible, while still serving as a Director of Engineering at Tencent—demonstrating an unusual blend of startup grit and large-scale org leadership. His background includes building LinkedIn’s WhereHows metadata platform and meaningful backend contributions to the widely used DataHub project, where he focused on multithreading, lineage extraction, and ETL optimization. Fluent in both product and infrastructure work, he pairs hands-on backend engineering with strategic product vision informed by academic training from Rice University and Nanjing University.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Rice UniversityBachelor of Engineering (BE) Computer Software Engineering, Bachelor of Engineering (BE) Computer Software Engineering at Nanjing University
Chinese, English
Github Skills (8)
etl10
javas10
backend10
java10
sql9
metadata9
data-engineering8
python5
Programming languages (3)
Github contributions (5)
datahub-project/datahub
Nov 2015 - Jun 2016
The Metadata Platform for your Data and AI Stack
Role in this project:
Backend Developer
Backend DeveloperContributions:76 commits, 38 PRs, 24 pushes in 6 months
Contributions summary:Jony primarily contributed to backend development within the DataHub project. Their commits focused on addressing bugs, fixing multithreading issues, and optimizing the codebase. They implemented changes related to lineage extraction, including parsing and processing logs. Furthermore, the user worked on refactoring SQL queries and optimizing ETL scripts, focusing on the teradata extract.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
SunZhaonan/WhereHows-1
Feb 2016 - Mar 2016
Contributions:5 commits, 48 pushes in 1 month
lineagedata-sciencedata-discoverybig-datadiscovery
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