Kelvin Gakuo is a Senior Data Engineer based in Nairobi with 10 years of experience building data products and pipelines for startups and scaleups across fintech, emergency response, and B2B/B2C platforms. He combines hands-on engineering—real-time streaming, analytics engineering, and ML prototypes—with communication skills demonstrated by technical writing and public mentoring. At Angaza he focuses on production data systems after roles at Airbyte and Koa where he shaped both product analytics and developer-facing content. Early projects range from a self-driving car capstone to leading a team that implemented live CCTV streaming, showing a blend of experimentation and production-grade delivery. An active writer and mentor, he describes himself as a “data nerd” who applies practical data solutions to improve products and lives.
10 years of coding experience
5 years of employment as a software developer
Deep Learning Specialisation, Deep Learning Specialisation at Coursera
Bachelor of Science - BS, Bachelor of Science - BS at Jomo Kenyatta University of Agriculture and Technology
Unofficial Spotify Charts API. Get any and all data for top 200 and viral 50 music on Spotify. 27th Apr 2021 Update - fycharts returns empty dataframes due to CloudFlare protection on spotifycharts.com
Contributions:27 commits, 2 PRs, 42 pushes in 1 year 11 months
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