Shuya Tsukamoto

最高技術責任者 at 株式会社ミツカリ

Ota, Japan
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Summary

👤
Senior
🎓
Top School
Shuya Tsukamoto is a seasoned CTO and engineering leader with 11 years of experience, currently steering technology and product strategy at an HR Tech SaaS company where he scaled the team from single digits to 25 people and grew customer adoption from 1,000 to 5,000 companies. With a masters in computational engineering, he combines hands-on full‑stack engineering, cloud architecture and DevOps with product ownership and organizational design, having led major migrations (Heroku→AWS), architecture renewals, and AI feature rollouts. He favors a pragmatic balance between cutting‑edge and proven technologies, emphasizes quality as well as delivery speed, and has institutionalized internal practices like AI usage policies and productivity tooling. An active contributor to data platform tooling, he’s implemented Parquet analysis and improved deployment pipelines in the DataHub ecosystem, reflecting his interest in data and AI infrastructure. He is now deepening expertise in product strategy, mobile ecosystems and generative AI while strengthening English for global collaboration.
code11 years of coding experience
book工学部, 情報工学科, 工学部, 情報工学科 at 湘南工科大学
book修士, 計算工学, 修士, 計算工学 at 東京工業大学大学院
languagesJapanese
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Stackoverflow

Stats
1reputation
277reached
0answers
2questions
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Github Skills (24)

amazon-elasticsearch10
discovery-service10
metadata10
elasticsearchquery10
discovery10
aws-elasticsearch10
auto-discovery10
parquet10
elasticsearch10
data-catalog10
elasticsearch-api10
dockers9
java9
docker9
devops9

Programming languages (10)

TypeScriptJavaDockerfileShellScalaJavaScriptPHPHTML

Github contributions (5)

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datahub-project/datahub

May 2017 - Jun 2017

The Metadata Platform for your Data and AI Stack
Role in this project:
userBack-end & DevOps Engineer
Contributions:8 commits, 10 PRs, 13 comments in 1 month
Contributions summary:Shuya contributed to data extraction and analysis functionalities by implementing a Parquet file analyzer, including schema retrieval and sample data extraction. They also improved the project's build and deployment processes by modifying Docker configurations for both backend and web services, enabling environment variable configuration. Furthermore, the user fixed a critical error in the Elasticsearch indexing script, improving the overall functionality.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
tsukaby/static-site

May 2015 - Oct 2019

Contributions:12 pushes, 1 branch in 4 years 5 months
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