Lei Chang is a seasoned technology leader and CEO with 12 years of hands-on experience building cloud-native data warehouse systems and parallel databases. As founder of Oushu, he leads development of OushuDB and previously created and led R&D for Apache HAWQ at Pivotal/EMC, combining MPP database performance with Hadoop scalability for petabyte-scale analytics. His background spans research and production work in parallel execution, UDP-based interconnects with flow control, and cloud computing, grounded in a Ph.D. from Peking University. An active open-source contributor, his HAWQ fixes demonstrate attention to stability and resource optimization in critical back-end systems.
12 years of coding experience
7 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at Peking University
Contributions:12 commits, 11 PRs, 78 comments in 2 years 6 months
Contributions summary:Lei contributed to bug fixes and improvements within the Apache HAWQ project. Their work involved addressing issues related to missing Python packages, warnings during testing on macOS, and fixing a bug related to code coverage. Additionally, the user removed unnecessary code (extra semicolons) and optimized resource management by adjusting the QD resource heartbeat sleep time. These changes indicate a focus on improving the stability and performance of the HAWQ backend.
Contributions:5 pushes, 1 branch in 1 year 2 months
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