Pascal Pfeil is an applied scientist and software engineer with 10 years of experience focused on databases, currently working on AWS Redshift in Munich. He has a strong track record of shipping database features and performance improvements—ranging from adding new Redshift data types and instance optimization to enabling 50x faster subquery performance at Snowflake. His background blends industrial internships at Google, Oracle, and Siemens with research stints at MIT on instance-optimized indexing, reflecting a habit of turning research insights into production systems. Pascal’s work often targets low-level storage, query optimization and scalability, and he has repeatedly delivered measurable improvements to partner return rates and query throughput. He holds advanced software engineering training from top German universities and brings a pragmatic, research-informed approach to building high-performance data systems. A less obvious strength is his early experience in system administration and high-throughput REST services, which gives him end-to-end operational insight into database deployments.
10 years of coding experience
8 years of employment as a software developer
Master of Science Software Engineering, Master of Science Software Engineering at Ludwig-Maximilians-Universität München
Computer Science Expert Subject Area: System Integration, Computer Science Expert Subject Area: System Integration at Vocational School 7 Augsburg
Abitur, Abitur at Maristenkolleg Mindelheim
Master of Science Software Engineering, Master of Science Software Engineering at Technical University of Munich
Master of Science Software Engineering, Master of Science Software Engineering at University of Augsburg
Contributions:4 pushes, 1 branch in 3 years 2 months
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Pascal Pfeil - Applied Scientist II at Amazon Web Services (AWS)