Kunal Khatua
Software Development Manager at The Apache Software Foundation
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKunal Khatua is a software development manager with 11 years of experience building and leading engineering teams focused on scalable search and big-data systems, currently driving OpenSearch work at AWS in San Francisco. He blends hands-on backend development with people leadership, often jumping into code reviews and debugging to unblock projects and foster engineer growth. His background includes managing Apache Drill development and contributing fixes that improved WebUI cluster state and CSV export, reflecting a practical open-source mindset. Prior roles at MapR and Informatica emphasize performance engineering and complex benchmarking for Hadoop-era systems, giving him deep expertise in distributed query performance. As an Apache committer and former principal engineer, he balances strategic product direction with detailed implementation know-how. Colleagues describe him as a developer-at-heart manager who scales teams without losing sight of technical rigor.
11 years of coding experience
15 years of employment as a software developer
Master of Science Computer Sciences, Master of Science Computer Sciences at The University of Texas at AustinComputer Science Physics Maths Chemistry, Computer Science Physics Maths Chemistry at Jai Hindu jobsSt. Mary's School, ISCBachelor of Engineering Information Technology, Bachelor of Engineering Information Technology at University of Mumbai
English, Hindi, Marathi
Github Skills (10)
drilldown10
javas10
sql10
java10
apache-drill10
freemarker9
rest-api9
web-development8
jdbc7
big-data7
Programming languages (6)
Github contributions (5)
apache/drill
Feb 2017 - Mar 2019
Apache Drill is a distributed MPP query layer for self describing data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 commits, 133 PRs, 13 pushes in 2 years 1 month
Contributions summary:Kunal contributed to the Apache Drill project by addressing UI and functionality issues. They fixed a UI rendering bug related to unknown metrics in query profiles by skipping the problematic metrics. Furthermore, they modified the codebase to improve WebUI cluster state information, enabling the display of updated statuses and the management of drillbit shutdowns. Additional changes included the implementation of functionalities like exporting query results to CSV files.
jdbcdatastreambig-datadatabasehadoop
kkhatua/YCSB
Feb 2016 - May 2016
Contributions:4 PRs, 17 pushes, 10 branches in 2 months
benchmarkyahookubernetesserving
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