Lagos, Lagos State, Nigeria
Data Engineering is my thing. Over the past few years, I’ve been designing and building data pipelines that keep businesses running. Whether it’s classic batch ETL or more recently, real-time streaming systems. I’m at my best when architecting reliable, scalable platforms that turn data into something genuinely useful. My sweet spot? Working with tools like Python, SQL, Kafka, Debezium, dbt, and especially Dagster (plus a bunch of cloud services) to get data flowing smoothly from A to B. While I started out in batch ETL, I’ve really enjoyed diving into streaming pipelines and tackling the unique challenges they bring. What keeps me going is the challenge of building things that don’t just work, but work well. I’m passionate about my craft, always eager to pick up new skills, and happiest when I’m deep in code or whiteboarding a solution (preferably with a cup of tea in hand). If you care about reliability, enjoy talking shop, or want to swap notes on the latest in data engineering, I’m always up for a chat.
Data sourcing, descriptive and predictive analytics, Pipeline orchestration and maintenance leveraging Google cloud platform.
worked with machine learning and deep learning models to solve a variety of problems. built various end-to-end ML projects in a team and had the opportunity to present solutions to industry experts. explored intersection of software engineering and machine learning by building web apps to serve some of the solutions built.