Kazuki Ohta
Founder at Treasure Data, Inc.
San Francisco, California, United States
Summary
🤩
RockstarKazuki Ohta is a seasoned entrepreneur and computer scientist with 15 years building scalable data platforms, currently Co-Founder and CEO of Treasure Data in Palo Alto. He led Treasure Data from founding through its 2018 acquisition by Arm and now runs a Customer Data Platform that serves 400+ global customers and processes over one trillion records monthly. Equally comfortable coding and leading, Kazuki has hands-on open-source contributions to CNCF's Fluentd and MessagePack (including Java RPC and test-suite work), demonstrating deep backend, DevOps, and serialization expertise. A Forbes Technology Council member, founder of the Hadoop User Group Japan, and active angel/investor, he mentors founders and openly shares failures as teachable lessons. He pairs University of Tokyo–trained rigor with operator experience that bridges research, product, and enterprise-scale engineering.
16 years of coding experience
Github Skills (61)
unit-testing10
junit510
msgpack10
netty10
python10
testing10
data-serialization10
java10
serialization10
ruby10
javas10
junit10
performance-optimization10
unicorn10
logging10
Programming languages (12)
Github contributions (5)
kzk/unicorn-worker-killer
Nov 2012 - Apr 2021
Automatically restart Unicorn workers based on 1) max number of requests and 2) max memory
Role in this project:
Backend Developer
Backend DeveloperContributions:44 commits, 7 PRs, 9 pushes in 8 years 6 months
Contributions summary:Kazuki primarily contributed to the core logic of the `unicorn-worker-killer` project. Their work focused on bug fixes, particularly concerning the accuracy of memory usage calculations and variable scopes. They refactored the codebase, changing namespaces and introducing features for disabling certain functionalities. The user also implemented changes to improve error messaging and compatibility across different Ruby versions.
memoryunicornpythonworkers
fluent/fluent-logger-python
Oct 2011 - May 2015
A structured logger for Fluentd (Python)
Role in this project:Back-end Developer
Back-end DeveloperContributions:46 commits, 7 PRs, 7 pushes in 3 years 7 months
Contributions summary:Kazuki primarily contributed to the development of a Python-based logging library for Fluentd. They implemented core functionalities such as message formatting, sending events, and handling connections to Fluentd. The user also introduced features including timestamp support, and a Unix Domain Socket sender, while refactoring the sender module. These changes improved the library's functionality and connection methods. The user also created a handler class for integration with standard Python logging.
pythonstructuredloggerfluentdlogging
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