Hanisha Koneru
Staff Software Engineer at Twilio
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolHanisha Koneru is a Staff Software Engineer in Seattle with 10 years building resilient, large-scale distributed storage and consensus systems. She has deep hands-on experience contributing to flagship Apache projects—Hadoop HDFS, Ozone, and Ratis—solving production-critical issues like slow-disk handling, snapshot installation, and Raft append/segment correctness. At Cloudera and now Twilio she blends core backend engineering with operational insight, exposing metrics (JMX) and adding tests to improve observability and reliability. An active Apache PMC and committer, she moves between code, tests, and release-focused tasks, reflecting both technical depth and project stewardship. Her background in data acquisition and analytics tooling earlier in her career gives her a pragmatic view of data quality and pipeline freshness that informs her infrastructure work.
10 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Colorado State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
filesystem10
consensus10
back-end-development10
storage10
hdfs10
distributed-systems10
apache10
java10
javas10
jmx10
raft10
backend10
hadoop9
apache-hadoop9
testing9
Programming languages (2)
Github contributions (5)
apache/ozone
Jun 2018 - Apr 2022
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Role in this project:
Backend Developer
Backend DeveloperContributions:183 reviews, 110 commits, 118 PRs in 3 years 11 months
Contributions summary:Hanisha contributed to adding Data Usage to VolumeInfo within the Hadoop HDDS container service. The changes included modifications to VolumeUsage.java and VolumeSet.java files, indicating development efforts within the storage system's core components. Further contributions included a revert of an older version file in the container service and additions to the VersionEndpointTask, suggesting involvement in versioning or endpoint-related functionalities. Additional work focuses on implementing the HDDSVolume with container state management.
scalableredundantapachebig-dataspark
apache/hadoop
Mar 2017 - Jul 2020
Apache Hadoop
Role in this project:Back-end Developer
Back-end DeveloperContributions:100 commits, 39 PRs, 21 pushes in 3 years 4 months
Contributions summary:The user, Hanisha Koneru, contributed primarily to the Hadoop Distributed File System (HDFS) project. Their work involved implementing features for handling slow disks in DataNodes, which included exposing slow disk information via DataNode JMX and enabling the NameNode to report on slow disks. This involved modifying core HDFS code, adding tests, and exposing slow disk metrics through JMX for monitoring. Additionally, they implemented a unit test for NameNodeStatusMXBean.
apachebig-datasparkhadoopjava
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