2026-07-15 –, S4
Remember spending entire afternoons configuring data connectors, debugging OAuth flows, and writing custom parsers just to ingest data from a single API ? What if I told you that you could just say "add mlflow as a source" and have your pipeline automatically discover the API, handle authentication, and start ingesting data no config files, no setup wizards ?
In this 30-minute talk, I'll show you the reality behind modern self-configuring ETL pipelines that sound too good to be true but actually work. We'll explore how intelligent data connectors leverage public APIs, MCP servers, and automatic credential management to eliminate the traditional pain points of data ingestion.
Olusola Lanre Akinsulere is an engineering leader and backend specialist who builds reliable systems at scale. He has led teams across fintech, commerce, and platform products, delivering services used by millions of users and processing high-volume transactions. His work spans distributed systems, payments infrastructure, and data-driven platforms, often stepping in to stabilize complex codebases and ship critical features under tight timelines.
Olusola currently serves as Engineering Lead at Retailloop, where he focuses on using AI and robust backend architecture to power commerce in emerging markets. He enjoys turning messy real-world problems into clear technical plans, mentoring engineers, and bridging product vision with execution.
His interests include system design, developer productivity, and practical applications of machine learning in everyday products. Outside work, he explores fitness, personal projects, and tools that make teams move faster.