Kelvin Wangonya is a Senior Data Engineer with 10 years of experience who combines a backend engineering foundation with deep expertise in building scalable data platforms and ETL/ELT pipelines on GCP. He designs and optimizes BigQuery datasets, leverages Dataflow for distributed processing, and orchestrates reliable workflows with Prefect while maintaining observability and cost efficiency. Kelvin continues to ship backend services (FastAPI) that bridge application logic and data infrastructure, having led refactors from monoliths to modular architectures. His work includes integrating Adobe Analytics into internal data systems and improving fault tolerance across batch workflows, showing a practical focus on downstream analytics needs. Based in Nairobi, he brings a hybrid background that lets him operate equally well in product-facing backend roles and platform-level data engineering. Colleagues appreciate that he pairs system-level thinking with hands-on Python engineering to make data both reliable and accessible.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Kabarak University
Contributions:10 commits, 8 PRs, 8 pushes in 14 days
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