In this episode of the Security Repo Podcast, we talk with Henry Odibi, a data engineer who pivoted from chemical engineering into data and AI. Henry shares how he hacked his way into tech, built his own automation tools, and now integrates AI responsibly—always with a “security first” mindset. He also emphasizes the importance of treating data as if it were your own and offers practical steps for anyone starting in AI or data engineering to stay secure.

https://www.linkedin.com/in/henryodibi/

Henry Odibi transforms messy, real-time process data into high-performance data systems used across global manufacturing operations.

With 4+ years of experience spanning chemical engineering, utilities, telemetry integration, and cloud architecture, he's built solutions that improve OEE, energy intensity, yield, inventory accuracy, and cycle time across 30+ Ingredion sites worldwide.

He began his career on the plant floor, supervising wet mill operations and responding to breakdowns firsthand. Over time, Henry transitioned into a global data role where he now designs scalable data pipelines using Azure Data Factory, Databricks, PySpark, and Power BI — empowering teams with near-real-time visibility and decision intelligence.

Henry has led internal training programs, built metadata-driven automation frameworks, and collaborated with cross-functional teams to deliver insight that drives action.

His passion lies in building the future of digital manufacturing — a connected, automated, and self-optimizing production environment.