Simhadri Govindappa
Senior Software Engineer at The Apache Software Foundation
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolSimhadri Govindappa is a Senior Software Engineer with nine years of experience specializing in distributed data systems and query engines, currently based in Bengaluru. An Apache Hive committer and prolific contributor to the hive project, he has driven metastore and query execution improvements, LLAP stability fixes, and Iceberg integration work that enhances partitioning and column statistics. He has built secure access features for Hive-Spark integration at Cloudera and briefly worked on cloud-scale data engineering at AWS before joining Uber. His background spans applied ML and systems work—from a patented real-time video de-identification model at GE Healthcare to IoT-enabled crop-yield prediction—showing a blend of research curiosity and production-grade engineering. Notably, his open-source contributions tackle concurrency and cloud deployment pain points, reflecting a focus on making large-scale data platforms more reliable and interoperable.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering Electrical Electronics and Communications Engineering, Bachelor of Engineering Electrical Electronics and Communications Engineering at Ramaiah Institute Of Technology
Stackoverflow
160reputation
18kreached
10answers
3questions
Github Skills (24)
metastore10
java10
javas10
sql10
apache-hive10
apache-iceberg10
ice10
backend10
hadoop9
data-engineering9
big-data9
databases9
database9
api8
apim8
Programming languages (6)
Github contributions (5)
apache/hive
May 2020 - Jan 2023
Apache Hive
Role in this project:
Back-end Developer
Back-end DeveloperContributions:271 reviews, 11 commits, 44 PRs in 2 years 8 months
Contributions summary:Simhadri primarily contributes to the Apache Hive project by implementing and optimizing features related to the metastore and query execution. The commits showcase work on privilege synchronizers, information schema views, and enhancements to the locking mechanism for concurrent CTAS operations. Additionally, the user addressed issues within the LLAP (Live Long and Process) daemon, involving heartbeats and cloud deployment integrations. The user also demonstrated experience in Iceberg table integrations, including support for "SHOW PARTITIONS" and column statistics management.
flinksqlapachebig-dataspark
simhadri-g/hive-site
Sep 2022 - Mar 2025
Apache Hive website
Contributions:2 PRs, 54 pushes, 10 branches in 2 years 6 months
apachebig-datasparkdatabasehadoop
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