Gonzalo Jaureguizar
Apache Pinot Committer at The Apache Software Foundation
Madrid, Community of Madrid, Spain
Summary
🤩
Rockstar🎓
Top SchoolGonzalo Jaureguizar is a software engineer with 11 years’ experience building high-performance Java systems, focused on databases, concurrency and distributed low-latency OLAP engines. As an Apache Pinot committer and former contributor to ToroDB, he combines production-grade query-engine and storage work with deep knowledge of PostgreSQL and MongoDB internals. He has driven performance and off-heap data-structure work at companies like Devo and StarTree, tackling serialization, pruning and replication challenges at scale. Gonzalo is fluent across JVM and emerging ecosystems—heavily invested in Akka, Apache Flink and Kotlin, and recently exploring Rust—to push efficiency and safety in data systems. Based in Madrid, he brings a pragmatic research-to-production track record, having translated academic ideas into faster compilers and robust distributed services.
11 years of coding experience
11 years of employment as a software developer
Computer Engineer Computer Engineering, Computer Engineer Computer Engineering at Universidad Complutense de MadridBachelor on Physical (unfinished) Ingeniería informática, Bachelor on Physical (unfinished) Ingeniería informática at Complutense de Madrid
English, Spanish
Stackoverflow
140reputation
39kreached
2answers
0questions
Github Skills (17)
postgresql10
query-optimization10
java10
javas10
sql10
performance-tuning10
backend10
data-structure9
algorithm9
algorithms9
database-design9
datastructures-algorithms9
data-structures9
cdi6
intellij-idea6
Programming languages (17)
Github contributions (5)
apache/pinot
May 2022 - Oct 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1537 reviews, 13 commits, 363 PRs in 5 months
Contributions summary:Gonzalo's commits primarily involve improvements to the query execution engine within the Apache Pinot codebase, specifically focusing on enhancements to data pruning, object mapping and data block serialization. They addressed performance bottlenecks in the column value segment pruner and the data block serde process. Additionally, the user made changes to the code that supports null values.
realtimedata-streamolapapachedatastore
gortiz/torodb
Dec 2015 - Mar 2017
Contributions:3 releases, 2 PRs, 71 pushes in 1 year 3 months
database
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