2025-12-09 –, Planck-Bohr
Our data platform journey started with a classic data lake — easy to ingest, hard to evolve. As domains scaled, tight coupling across source systems, pipelines, and data products slowed everything down. In this talk, we share how we re-architected toward a domain-oriented data mesh using PySpark, Delta Lake and DQX to achieve true decoupling. Expect practical lessons on designing independent data products, managing lineage and governance, and scaling self-service without chaos.
- What exactly is architectural decoupling
- Identify how hidden coupling creeps into data lakes and data meshes.
- Learn technical design patterns for decoupling ingestion, transformation, and ownership using open tools.
- Understand how to scale self-service data mesh principles without breaking governance or lineage integrity.
Geert Jongen is a System Architect for Data & Analytics at Vanderlande, where he designs and evolves the company’s data platform toward a federated data mesh. Before that, he worked as a data consultant at Pipple for five years. With a background in data engineering, analytics, and data science, he focuses on building scalable data architectures that empower teams through autonomy and governance.