Riza Suminto
Senior Software Development Engineer at The Apache Software Foundation
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolRiza Suminto is a Senior Software Development Engineer based in the San Francisco Bay Area with a decade of experience building high-performance distributed data systems. Currently at Adobe working on a Real-Time Customer Data Platform, he brings deep expertise from multiple roles at Cloudera where he delivered workload-aware autoscaling, Iceberg manifest caching (speeding planning up to 12x), and improvements to cardinality estimation and memory use. An Apache Impala PMC member and long-time committer, his open-source contributions include bug fixes and performance work on timestamp parsing, runtime filters, and memory management for the widely used Impala project. He holds a PhD from the University of Chicago focused on improving performance reliability of distributed/cloud systems, blending rigorous research with production-grade engineering. Notably, his background spans both academic research and hands-on systems optimization that directly translate to measurable query and infrastructure gains.
10 years of coding experience
13 years of employment as a software developer
SMA Taruna NusantaraBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universitas Gadjah MadaDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Chicago
English, Indonesian
Github Skills (14)
c-language10
imp10
cprogramming-language10
sql10
impala10
performance-optimization9
time-series9
distributed-systems9
test-integration8
unit-testing8
integration-testing8
testing8
unit-test8
test-unit8
Programming languages (7)
Github contributions (5)
apache/impala
Jan 2020 - Jan 2023
Apache Impala
Role in this project:
Back-end Developer
Back-end DeveloperContributions:68 commits in 2 years 11 months
Contributions summary:Riza primarily contributed to the Apache Impala project by fixing bugs related to timestamp parsing and incorrect calculations. These fixes involved modifications to the core codebase, specifically in the runtime and statestore components, as well as changes to the testing infrastructure with the addition of new test cases. The contributions demonstrate a focus on improving the stability and accuracy of Impala's functionality related to time-based data processing and distributed systems. The user was also involved in addressing performance issues related to runtime filters and overall memory management.
apache-impalaparquetolapsqlapache
ucare-uchicago/hadoop
Dec 2015 - Oct 2018
Contributions:1 PR, 137 pushes, 16 branches in 2 years 10 months
apachebig-datahadoopjavaapache-hadoop
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