Takeshi Arabiki is an engineering manager in Tokyo with 15 years’ experience leading SRE, data engineering and application teams, currently driving reliability and cost-optimized AWS operations at Repro. He combines deep hands-on expertise in Rails, Ruby, Kafka, Fluentd, MySQL/Aurora, Presto and Cassandra with practical infrastructure skills—designing and stabilizing distributed streaming pipelines and finding cost savings like spot-instance adoption and an AWS EDP renegotiation that earned company MVP. A long-time OSS contributor, he has improved core projects such as Fluentd (performance and deadlock fixes) and ruby-kafka, and added Ruby bindings to CRFsuite, demonstrating both systems-level and language interoperability work. He also brings data-science instincts from earlier roles—authoring an advanced Japanese R book and applying NLP and LTV modeling in production—making him effective at bridging analytics, platform engineering and product needs.
15 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng, Engineering Science, Master of Engineering - MEng, Engineering Science at Osaka University
Ridgepole is a tool to manage DB schema. It defines DB schema using Rails DSL, and updates DB schema according to DSL. (like Chef/Puppet)
Role in this project:
Back-end Developer / Database Engineer
Contributions:43 commits, 29 PRs, 19 pushes in 3 years 2 months
Contributions summary:Takeshi primarily contributed to the `ridgepole/ridgepole` project, a database schema management tool for Rails. Their work involved modifying the DSL parser and the delta generation logic, likely to enhance database schema management capabilities. Key contributions include supporting PostgreSQLAdapter and primary_key definition changes. They also addressed issues related to dropping tables and foreign keys to maintain database integrity.
Contributions:5 reviews, 19 commits, 15 PRs in 1 year
Contributions summary:Takeshi contributed to the `zendesk/ruby-kafka` repository by implementing features and addressing issues related to the Kafka client library. Their work includes removing unnecessary reconnections in the consumer, supporting Unix domain sockets for Datadog metrics, and enabling custom assignment strategies for consumers. They also refactored the code to introduce an `Assignor` class, which streamlines the partition assignment process.
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.
Request Free Trial
Takeshi Arabiki - Engineering Manager at Repro Inc.