Mattias Jonsson
Principal Software Engineer at TiDB, powered by PingCAP
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolMattias Jonsson is a Principal Software Engineer based in Amsterdam with over a decade of experience building and scaling database systems. He progressed from hands-on MySQL engineering and team leadership at Booking.com to senior and principal roles at PingCAP, contributing directly to the back-end of TiDB — a prominent open-source, cloud-native distributed SQL database. His work focuses on query execution, partitioning, global indexes and performance-critical features, reflecting deep expertise in database internals and storage layers. Comfortable both leading teams and shipping low-level code, he brings a track record of turning complex scaling challenges into production-ready solutions. An engineering-minded MSc in Electrical and Computer Engineering from Chalmers underpins a pragmatic, systems-first approach to solving large-scale data problems.
10 years of coding experience
19 years of employment as a software developer
Master of Science, Electrical Engineering; Computer Engineering and Science, Master of Science, Electrical Engineering; Computer Engineering and Science at Chalmers tekniska högskola
Github Skills (9)
databases10
query-optimization10
go10
sql10
relational-databases10
index-management10
sql-database10
database10
testing10
Programming languages (6)
Github contributions (5)
pingcap/tidb
Apr 2021 - Jan 2023
TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications.
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:1067 reviews, 89 commits, 233 PRs in 1 year 9 months
Contributions summary:Mattias primarily contributed to the back-end development of the TiDB database, focusing on improving partition pruning tests and implementing core database functionalities like renaming users. Their work involved writing and modifying code within the `executor`, `table`, and `planner` packages, suggesting a deep understanding of the database's query execution and storage layers. The contributions included testing and implementation of features related to table partitioning, global indexes, and more specifically, improvements in index joins, demonstrating a solid grasp of database internals and performance optimization.
ai-poweredtidbserverlesshtapreal-time
mjonss/docs
Apr 2021 - Mar 2025
Contributions:2 PRs, 112 pushes, 30 branches in 3 years 11 months
tidbzealtikvkdbq
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