Suneet Saldanha
Software Engineer at The Apache Software Foundation
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolSuneet Saldanha is a software engineer and engineering manager with six years of focused experience building and operating real-time analytics systems, currently based in the San Francisco Bay Area. He founded and led data engineering efforts at Imply to make Polaris (a Druid-based DBaaS) more reliable and cost-efficient, cutting ingestion costs by over 30% through tighter Druid–Kubernetes integration and automated remediation. As an Apache Druid committer and back-end contributor, he’s implemented Java startup/config improvements and refactored query join paths in one of the industry’s leading real-time analytics databases. Prior roles at Amplitude and AppDynamics show a track record of reducing tail latency and hardening large-scale telemetry and monitoring systems. At Grepr he now applies that experience to intelligent observability pipelines that automatically transform and route data. He combines hands-on performance optimization with operator-focused tooling—making clusters resilient while surfacing practical insights for customers.
6 years of coding experience
13 years of employment as a software developer
FAIPSfor Bachelors of Applied Science Honours Computer Engineering, for Bachelors of Applied Science Honours Computer Engineering at University of Waterloo
Stackoverflow
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0reached
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Github Skills (9)
javas10
apache-druid10
performance-optimization10
back-end-development10
java10
sql-database9
database9
relational-databases9
databases9
Programming languages (5)
Github contributions (5)
apache/druid
Dec 2019 - Jan 2023
Apache Druid: a high performance real-time analytics database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:779 reviews, 108 commits, 412 PRs in 3 years 1 month
Contributions summary:Suneet contributed to the Apache Druid real-time analytics database by implementing features related to Java configuration and startup scripts, as well as refactoring several codebases. They introduced features for allowing startup scripts to specify the Java home directory and fixing equals and hashCode methods for consistent object behavior. Furthermore, the user refactored code related to join conditions to improve performance and removed an unnecessary dependency.
real-timebig-datadruiddatabasehadoop
suneet-s/druid
Nov 2019 - Sep 2024
Apache Druid (Incubating) - Column oriented distributed data store ideal for powering interactive applications
Contributions:1 review, 13 PRs, 453 pushes in 4 years 10 months
incubatingidealdata-storeapachebig-data
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