Tsuneo Yoshioka
Data Analytics Engineer
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolTsuneo Yoshioka is a Tokyo-based Data Analytics Engineer with 14 years of software and network engineering experience, blending low-level UNIX/C and kernel work with modern analytics, ETL/ELT pipelines, and dashboarding. He has been a core developer of paiza’s online IDE and compiler services and currently focuses on data engineering, governance, A/B testing and KPI tooling. His background includes security-focused product development at F-Secure (kernel file hooks, gateway antivirus) and full-stack work across Ruby on Rails, TypeScript/Angular, Go, WebRTC and Docker. An active open-source contributor, he improved query functionality and BigQuery support in the popular Redash project, adding multi-byte search and chart fixes. Comfortable across Linux, macOS, Windows and embedded/network firmware domains, he combines systems-level rigour with product-facing analytics delivery.
15 years of coding experience
17 years of employment as a software developer
Master, Information Science, Master, Information Science at Nara Institute of Science and TechnologyBS, Electronics, BS, Electronics at The University of Osaka
English, Japanese, Finnish
Stackoverflow
7,724reputation
2.0mreached
57answers
16questions
synchronization
top-1%
oauth
top-5%
mongoose
top-5%
facebook
top-5%
cross-browser
top-1%
css
top-5%
Github Skills (29)
visualization10
dashboard10
bigquery10
python10
analytics10
synchronization10
visualizations10
cross-browser10
postgresql9
mongoose9
facebook9
multithreading9
css9
passportjs9
unicode9
Programming languages (15)
Github contributions (5)
getredash/redash
May 2022 - Mar 2026
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 38 reviews, 47 PRs in 3 years 10 months
Contributions summary:Tsuneo contributed to the Redash project by implementing features and fixing bugs related to query functionality and data visualization. They enhanced the search capabilities by integrating multi-byte search options for improved user query and favorite list searches, and added date and datetime type mapping for BigQuery integration. Additionally, the user addressed issues in chart rendering and data handling, specifically fixing bugs related to data labels on bar charts and the display of charts with similar x-axis values.
pythondatacompany-datavisualizebusiness-intelligence
yoshiokatsuneo/inettools
May 2012 - Sep 2013
Contributions:2 releases, 9 commits, 2 tags in 1 year 4 months
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