Jong-wook Choi
Senior Staff Software Engineer at Cloudera
South Korea
Summary
🤩
Rockstar🎓
Top SchoolJong-wook (Teddy) Choi is a Senior Staff Software Engineer with nine years of experience building high-performance distributed data systems, currently designing reliable, scalable Apache Iceberg replication services for hybrid multi-clouds at Cloudera. As an Apache Hive committer and back-end developer, he has deep expertise in performance optimization—applying relational algebra, SIMD, scheduling, caching, profiling, heuristics, compression, and hashing—to squeeze latency and resource use from large-scale systems. His GitHub work improving Arrow SerDe for Hive (notably timestamp and decimal handling) shows attention to data integrity and cross-format interoperability in widely used open-source projects. Previously at Amazon he eliminated periodic peak workloads to cut resource amortization by 75%, and at Jinmyung led a $1M/year margin-recovery initiative while prototyping sensor-driven hands-free scooter helmets. He combines hands-on systems engineering with product-minded problem solving and a knack for finding simple, practical fixes to complex distributed problems.
9 years of coding experience
11 years of employment as a software developer
Bachelor, Computer Science and Engineering, Bachelor, Computer Science and Engineering at Korea Advanced Institute of Science and Technology
English, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
javas10
deserialization10
big-data10
data-serialization10
apache-hive10
java10
serialization10
databases9
database9
sql9
Programming languages (4)
Github contributions (5)
apache/hive
Jun 2018 - Jan 2023
Apache Hive
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 reviews, 28 commits, 70 PRs in 4 years 7 months
Contributions summary:Jong-wook primarily focused on enhancing the Arrow SerDe within the Apache Hive project, specifically addressing timestamp and decimal data type handling. The commits demonstrate efforts to improve the deserialization and serialization processes, including the introduction of TimestampMicroVector and support for various precision/scale configurations. These changes involved modifications to the Deserializer and Serializer classes, ensuring data integrity and compatibility with the Arrow columnar format.
flinksqlapachebig-dataspark
pudidic/hive
May 2018 - Jan 2023
Mirror of Apache Hive
Contributions:85 pushes, 125 branches in 4 years 8 months
flinkapachebig-datadatabasehadoop
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.