A data scientist by day and a standup comedian by night. This was how Arda described himself prior to his critically acclaimed performance about his two identities during PyData 2024, where they merged.

Now he doesn't even know.

After another year of stage performances, awkward LinkedIn interactions and mysterious cloud errors, Arda is back for another tale of absurdity. In this closing talk, he will illustrate the hilarity of his life as a data scientist in the age of LLMs and his non-existent comfort zone, proving good sequels can exist

Metaflow is a powerful workflow management framework for data science, but optimizing its cloud resource usage still involves guesswork. We have extended Metaflow with a lightweight resource tracking tool that automatically monitors CPU, memory, GPU, and more, then recommends the most cost-effective cloud instance type for future runs. A single line of code can save you from overprovisioned costs or painful job failures!

In this talk, we will introduce Ordeq, a cutting-edge data pipeline development framework used by data engineers, scientists and analysts across ING. Ordeq helps you modularise pipeline logic and abstract IO, elevating projects from proof-of-concepts to maintainable production-level applications. We will demonstrate how Ordeq integrates seamlessly with popular data processing tools like Spark, Polars, Matplotlib, DSPy, and orchestration tools such as Airflow. Additionally, we showcase how you can leverage Ordeq on public cloud offering like GCP. Ordeq has 0 dependencies and is available under MIT license.

When you store data in the cloud, do you know who really controls it? In an era of increasing geopolitical tension and growing awareness around digital sovereignty, Dutch research institutes have already begun repatriating sensitive data from US servers to Dutch-controlled storage. This talk explores the hidden risks behind common cloud choices, from legal access by foreign governments to the ethical implications of supporting politically active tech giants. We’ll look at what it means to own your data, how regional storage might not be enough, and what it takes to build an EU-hosted, open-source data platform stack. If you’re a data engineer, architect, or technology leader who cares about privacy, control, and sustainable infrastructure, this talk will equip you with the insight—and motivation—to make different choices.