Alexander Dubrawski
Software Engineer at Trade Republic
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolAlexander Dubrawski is a software engineer with eight years of experience specializing in Rust and in-memory databases, currently building data-focused systems at Trade Republic in Berlin. He helped develop SIGNAL, a Rust-based in-memory process-mining query engine at SAP Signavio, improving data loading, query execution, and long-term planning for the system. His open-source and research roots include contributions to Hyrise, a well-known research in-memory database, where he optimized parallel projection, added predicate support, and tuned join and scan execution for performance. Comfortable across languages and stacks (Rust, C++, Python, Arrow/Parquet, AWS), he blends research-grade algorithmic thinking with production engineering. He also created tooling to visualize and stress-test autonomous database behaviors, work that was published and used to evaluate database components. Known for turning low-level performance insights into robust, maintainable systems, he favors pragmatic improvements that scale with real workloads.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree IT-Systems Engineering, Bachelor's degree IT-Systems Engineering at Hasso Plattner Institute
German, English
Github Skills (19)
c-language10
performance-monitor10
performance-analytics10
in-memory-database10
databases10
memory-database10
performance-measurement10
parallel-processing10
performance-analysis10
column-store10
sql10
performance-tuning10
performance-monitoring10
cprogramming-language10
database10
Programming languages (7)
Github contributions (5)
hyrise/hyrise
Nov 2020 - Jun 2021
Hyrise is a research in-memory database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:89 reviews, 9 commits, 19 PRs in 6 months
Contributions summary:Alexander primarily contributed to optimizing the Hyrise research in-memory database. Their commits focused on parallelizing the projection operator, adding LIKE and NOT LIKE predicates to the min/max filter, and adding a null scan removal rule. Further contributions involved improving performance by adding thresholds for parallel execution in table scan and join hash and also improving the performance of join sort merge operator.
in-memory-databasedatabasecppsqlcolumn-store
hpi-swa-teaching/InteractiveProfilingTool
May 2019 - Jul 2019
Contributions:82 commits, 7 PRs, 67 pushes in 2 months
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