Kavitha Manivannan

Software Engineer at Facebook

Bellevue, Washington, United States
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Summary

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Rockstar
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Top School
Kavitha Manivannan is a seasoned software engineer with two decades of industry experience and a proven track record of building large-scale, distributed systems across top-tier technology companies. She helped launch Microsoft Azure Storage and contributed core features that scaled the service to multi-exabyte, geo-replicated deployments, and later drove critical distributed systems and billing work at Amazon and Facebook. Comfortable in startup-like environments and large organizations alike, she combines hands-on Java backend expertise with systems design, operationalizing storage, partitioning, and monitoring solutions. Her open-source contributions to Apache Drill demonstrate attention to correctness and security—fixing memory leaks, null handling, and ACL-related issues in a widely used MPP query engine. Based in Bellevue, WA, she pairs entrepreneurial curiosity (Wharton entrepreneurship certification) with a deep engineering focus on reliability, performance, and secure data processing.
code9 years of coding experience
job16 years of employment as a software developer
bookBITS Pilani, Birla Institute of Technology and Science
bookCertification in Entrepreneurship, Entrepreneurship/Entrepreneurial Studies, 100%, Certification in Entrepreneurship, Entrepreneurship/Entrepreneurial Studies, 100% at Wharton Entrepreneurship Specialization
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Stackoverflow

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Github Skills (10)

drilldown10
javas10
big-data10
java10
apache-drill10
sql9
memory-management9
security8
hadoop7
parquet6

Programming languages (5)

JavaC++LLVMMLIRPython

Github contributions (5)

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apache/drill

Oct 2016 - Mar 2019

Apache Drill is a distributed MPP query layer for self describing data
Role in this project:
userBack-end Developer
Contributions:14 commits, 22 PRs, 1 push in 2 years 5 months
Contributions summary:Kavitha primarily contributed to bug fixes and enhancements within the Apache Drill codebase. They addressed issues related to null checks, memory leaks, and incorrect data handling in core components like partition conditions, data batch processing, and bit vector operations. The user also worked on security-related improvements, fixing the visibility of administrative features based on user roles, and setting secure ACLs for ZK nodes. Their work involved Java code and interaction with core Drill functionalities and configurations.
jdbcdatastreambig-datadatabasehadoop
bitblender/drill

Sep 2016 - Apr 2019

Mirror of Apache Drill
Contributions:154 pushes, 61 branches, 1 comment in 2 years 7 months
drilljavaapache-drillapache
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