Summary
Panagiotis Katsaroumpas is a Principal Data Engineer with 11 years of cross-industry experience blending theoretical physics rigor and pragmatic software engineering to build cloud-native data and ML platforms. He has led data pipelines, MLOps and backend architecture at enterprises like Booking.com, Schibsted and a major pharmaceutical firm, specialising in Python, Scala, Spark, AWS services and infrastructure-as-code. Comfortable moving between hands-on engineering and solution architecture, he designs scalable data lakes, experiment pipelines and real-time personalization systems while keeping operational reliability and compliance in mind. Based in Barcelona with a background as a Visiting PhD researcher at UCLA, he brings a researcher's attention to modeling and a teacher’s clarity—he’s also an AWS Authorized Instructor, which reflects his knack for distilling complex cloud concepts for practitioners.
11 years of coding experience
13 years of employment as a software developer
Research Master Theoretical Physics (Cum Laude), Research Master Theoretical Physics (Cum Laude) at University of Amsterdam
5 years Degree Applied Mathematics and Physics, 5 years Degree Applied Mathematics and Physics at National Technical University of Athens
University of California, Los Angeles
PhD Theoretical Physics, PhD Theoretical Physics at Queen Mary University of London