Mehdi Ouazza
I'm Mehdi, also known as mehdio, a data enthusiast with nearly a decade of experience in data engineering for companies of all sizes. I'm not your average data guy—I inject humor and fun into my work to make complex topics easier to digest. When I'm not actively contributing to the data community through my blog, YouTube, and social media, you can find me off-beat, marching to the beat of my own data drum.
Recently, I joined Motherduck as a developer advocate, where I bring my data engineering expertise to supercharge DuckDB.
Session
Most Python developers reach for Pandas or Polars when working with tabular data—but DuckDB offers a powerful alternative that’s more than just another DataFrame library. In this tutorial, you’ll learn how to use DuckDB as an in-process analytical database: building data pipelines, caching datasets, and running complex queries with SQL—all without leaving Python. We’ll cover common use cases like ETL, lightweight data orchestration, and interactive analytics workflows. You’ll leave with a solid mental model for using DuckDB effectively as the “SQLite for analytics.”