Uche Madu is an AI Engineer with 8 years of experience building scalable batch and streaming data pipelines that drive advanced analytics and ML workflows. He specializes in modern data platforms—BigQuery, Iceberg, Kafka, Flink, Beam, PySpark, dbt, and Airflow—across GCP, AWS, and Azure, with a focus on containerization and Kubernetes for scalable deployments. Based in Abuja, Nigeria, he brings a unique cross-disciplinary background in veterinary medicine and agriculture to data-driven problem solving, enriching his approach to modeling and experimentation. Currently at DivVerse Labs, he develops AI applications—from RAG and lead scoring to video generation—via no-code tools and Python, delivering practical, results-oriented solutions. He has mentored cloud engineers, contributed to research-driven work at Wonder, and holds a Google Cloud training credential alongside an MBA in Marketing.
8 years of coding experience
5 years of employment as a software developer
Cloud DevOps Engineer Nanodegree, Cloud DevOps Engineer Nanodegree at Udacity
Master of Business Administration - MBA Marketing, Master of Business Administration - MBA Marketing at University of Nigeria, Nsukka
Google Africa Developer Training Program, Google Cloud, Completed, Google Africa Developer Training Program, Google Cloud, Completed at Google Developers
This repository contains application code for the Wizeline Data Engineering Bootcamp (DEB) 2023. It is one of two repositories for the DEB. The other houses the infrastructure code.
Contributions:110 PRs, 132 pushes, 2 branches in 1 year 3 months
Contributions:2 PRs, 5 pushes, 3 branches in 3 years 11 months
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