Stephan Seufert is a senior software engineer based in Berlin with seven years of industry experience and a PhD in computer science focused on databases. He has driven core data infrastructure and query optimization work across top-tier companies, including AWS Redshift, Amazon Search, HubSpot, and now Databricks. His background blends academic research (publications in SIGMOD/ICDE/CIKM) with production-grade systems for search, ML ranking, and distributed databases. Stephan is particularly strong in query compilers and optimizer design, translating theoretical ideas into performant, large-scale services. Colleagues rely on him to untangle complex data problems and deliver pragmatic, measurable improvements in query performance. Outside of product roles, his trajectory shows a consistent focus on pushing database boundaries from research prototypes to cloud-scale deployments.
7 years of coding experience
17 years of employment as a software developer
Diplom-Informatiker Informatik Mathematik, Diplom-Informatiker Informatik Mathematik at The Julius Maximilians University of Würzburg
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Universität des Saarlandes
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Contributions:7 releases, 14 commits, 5 PRs in 1 year 7 months
data-qualityapacheunitsparkunit-tests
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Stephan Seufert - Senior Software Engineer at Databricks