Summary
David Schlyter is a Senior Engineer with 12 years’ experience designing and operating large-scale data and software systems, currently building next-generation user-behavior pipelines at Spotify that process petabyte-scale Dataflow workloads and push batch architectures toward near-real-time streaming. He combines deep engineering chops across GCP, Dataflow, Scio, BigQuery, Kafka and Kubernetes with a background in Java backend systems and cloud-native infrastructure. David has a track record of bootstrapping greenfield data platforms—from public-transport realtime ingestion to publisher data lakes—and of moving legacy, stateful systems to modern, scalable architectures. Comfortable both hands-on and architecting at system scale, he favors pragmatic, high-quality data processing and enjoys solving thorny production problems. A KTH-trained computer scientist, he is based in the Greater Stockholm area and often blends data engineering rigor with software engineering best practices in cross-functional teams.
13 years of coding experience
12 years of employment as a software developer
Msc, Computer Science, Msc, Computer Science at KTH Royal Institute of Technology
Royal Institute of Technology