Xiaotian Jiang
Chief Architect Of Data Platform
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXiaotian Jiang is a Chief Architect of Data Platform and seasoned software engineer with a decade of experience designing and optimizing distributed systems and real-time data infrastructure. Based in Sunnyvale, he leads platform architecture at StarTree after progressing from founding engineer to chief architect, bringing hands-on delivery experience from LinkedIn and contributions to high-scale systems. A Carnegie Mellon CS master's graduate, he is an active Apache Pinot PMC committer whose work added partition-based colocated joins, reduced expression evaluation overhead, and strengthened range indexing in a widely used realtime OLAP datastore. Xiaotian combines deep systems-level expertise with practical product instincts—he’s as comfortable refactoring query operators for performance as he is defining platform strategy for analytics at scale. Notably, his background spans both academic research in communications and large-scale production engineering, giving him a rare blend of theoretical rigor and operational savvy.
10 years of coding experience
5 years of employment as a software developer
Bachelor's Degree Electrical and Electronics Engineering, Bachelor's Degree Electrical and Electronics Engineering at Tsinghua UniversityMaster’s Degree Computer Science, Master’s Degree Computer Science at Carnegie Mellon University
Chinese, English
Github Skills (10)
javas10
query-optimization10
sql10
java10
data-structure9
datastructures-algorithms9
algorithm9
data-structures9
performance-tuning9
algorithms9
Programming languages (5)
Github contributions (5)
apache/pinot
Mar 2016 - Jan 2023
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8013 reviews, 1074 commits, 5301 PRs in 7 years
Contributions summary:Xiaotian's contributions focused on adding new features to the Apache Pinot project, including implementing functionality for partition-based colocated joins. They enhanced the efficiency of the code by reducing the overhead of hash computations within expression evaluations. They also refactored distinct operators and improved query handling. The user also added support for a more robust range index.
apache-pinotolapjava
Jackie-Jiang/pinot
Apr 2016 - Jul 2016
Contributions:77 pushes, 4 branches in 3 months
realtimeolapdatastoredistributed
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