About

January 6, 2024

I’m Tristan van der Vlugt, a data engineer with a background in business intelligence. These days I spend most of my time building and fixing data systems with PySpark, Databricks, Azure, and Terraform—and experimenting with streaming tech like Kafka and Flink.

What I Do

I focus on the engineering side of data—building pipelines that scale, debugging systems that break at 3 AM, and solving the messy problems that make data actually useful. My work spans:

• Data Pipeline Architecture: Designing systems that handle real-world data chaos
• Cloud Infrastructure: Building on Azure with Infrastructure as Code
• Stream Processing: Working with Kafka, Flink, and real-time data flows
• Performance Optimization: Making queries faster and systems more reliable

Why Datanyblles?

What I enjoy most are the tricky bits you don’t see in conference talks: the datetime bugs, the networking quirks, the data modeling decisions that make or break performance. This blog is where I share those lessons—practical insights from someone who spends their days making complex data problems simpler.

No fluff, just real experience from the trenches of data engineering.