Riaz Arbi is a Senior Data Engineer with a decade of experience building analytical stacks and pragmatic data solutions in constrained or uncertain environments. He combines full-stack systems skills—from bare-metal Linux and Kubernetes provisioning to Airflow-driven pipelines and statistical reporting—with a background in finance and investment analysis that sharpens his quantitative judgment. At the City of Cape Town he led data strategy and deployed cross-silo processing (SQL, Trino, S3) while translating technical work into executive decision support, and he now brings that operational rigor to roles at Equal Experts and John Lewis Partnership. Known for joining projects early when ambition outstrips capability, he excels at rapid prototyping, automation, and cultivating data science skills across organizations. He holds an M.Sc. in Data Science from the University of Cape Town and a rare mix of technical, analytical and storytelling training (including a film directing/scriptwriting degree) that helps turn complex data into actionable narratives.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Arts in Motion Picture Production, Directing and Scriptwriting, Distinction, Bachelor of Arts in Motion Picture Production, Directing and Scriptwriting, Distinction at AFDA
Master of Science (M.Sc.), Data Science, Master of Science (M.Sc.), Data Science at University of Cape Town
Contributions:6 releases, 45 commits, 1 PR in 1 year 9 months
deploymentprestodocker-composedocker
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