Rodel van Rooijen
I write and speak about the learnings and challenges I face in the data world, from the perspective of having worked in various data roles (Data Science, ML & Data Engineering, Tech Lead).
Currently I'm working at Achmea as a Machine Learning Engineer. Here I'm helping build a MLOps platform from the ground up.
Before this I've built the data platform from scratch at Solvimon. Solvimon is a startup tackling the entire billing ecosystem by building a modern and flexible platform.
In my previous role at Adyen, I led the initiative that resulted in their first end-to-end machine learning solution, which boosted payment conversion rates and generated hundred millions of euros in additional revenue for leading global merchants (e.g. Spotify, Microsoft, Meta).
Sessions
Ever wondered how to start from scratch, without any existing data infrastructure? In this talk, I will share my experience of building a data platform from scratch at a startup. This talk is intended for data (platform) engineers, data scientists, and anyone interested in building a scalable data platform in the cloud using open-source tools.
I will discuss the challenges faced in designing and implementing this platform, as well as the lessons learned along the way. We'll answer questions such as, why build a data platform at a startup? Why pick open source over alternatives? How to deploy data infrastructure on Kubernetes? How to build the first data products?