Michał Ślizak
Software Engineer at Fathom
Warsaw, Masovian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolMichał Ślizak is a software architect and senior engineer with nine years of experience building high-performance distributed systems, storage engines, and data retrieval stacks. He combines deep systems-level skills in Java, Python and C++ with practical expertise in Unix/Linux environments, having driven major scalability and stability wins in RTB, supply-chain and storage projects. As an active Trino contributor, he has improved security, file format support and CI efficiency, and authored clear documentation for Google Cloud Storage integration in a widely used distributed SQL engine. His background spans leadership roles from technical team lead to architect, where he delivered 20x throughput and integrated ML-based bidding models, reflecting a knack for squeezing performance from existing infrastructure. Based in Warsaw, he brings a research-informed perspective (advanced studies at University of Warsaw) to pragmatic engineering and CI/workflow improvements that reduce flakiness and speed delivery.
9 years of coding experience
18 years of employment as a software developer
IV Liceum Ogólnokształcące w ToruniuMaster's, Master's at University of Warsaw
English, German
Github Skills (8)
google-cloud-storage10
hive10
hadoop10
documentation10
java9
sql9
javas9
ldap9
Programming languages (7)
Github contributions (5)
trinodb/trino
Feb 2022 - Nov 2022
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:177 reviews, 16 commits, 87 PRs in 9 months
Contributions summary:Michał primarily contributed to the documentation of Google Cloud Storage access for the Trino query engine, detailing its configuration and usage with the Hive connector. Their work involved restructuring existing documentation, creating new pages, and providing step-by-step instructions with code examples. Furthermore, the user demonstrated proficiency in configuring and documenting Hadoop KMS key provider cache TTL, as well as fixing LDAP injection bugs.
prestodbdbmsindexingjdbcbigdata
MiguelWeezardo/trino
Mar 2019 - Apr 2023
Distributed SQL query engine for big data
Contributions:1 review, 18 PRs, 609 pushes in 4 years 1 month
queryquery-enginenosqlmysqlsql
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