Oyinlola Babafemi is a Senior Data Engineer with 10 years of experience who transitioned from data science to building resilient, high-performance data platforms that enable trusted decision-making. She has led large cloud migrations and platform improvements—most notably moving a BigQuery stack to Databricks and shifting Airflow workloads to Astronomer—while optimizing pipelines that process 5+ TB daily and cutting downtime dramatically. Her background in ML and automation informs practical solutions like proactive health checks and data resilience systems that reduced failover outages from days to nearly zero. Comfortable collaborating across product and engineering teams, she designs data warehouses and models that improve analytics and operational performance. Based in Old Toronto, she combines academic training (MSc Data Science) with hands-on experience in payments and remittance systems, bringing a strong focus on observability and long-lived solutions. Colleagues describe her as naturally curious and continually exploring new tools to push what’s possible in production data engineering.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Systems Engineering, Bachelor’s Degree Systems Engineering at University of Lagos
Master's degree Data Science, Master's degree Data Science at Lancaster University
Contributions:2 PRs, 14 pushes, 1 branch in 1 year 1 month
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