HariniĀ Rajendran
Technical Lead at Citadel
New York City Metropolitan Area United States
Summary
š¤©
Rockstarš
Top SchoolHarini Rajendran is a Technical Lead with 11 years of experience building and scaling cloud-native messaging and observability platforms, currently leading Kafka and messaging infrastructure work at Citadel in the NYC area. She previously drove cloud-scale observability at Confluent, scaling a metrics pipeline from 400k to 4.5M events/sec and improving multi-tenancy and tenant throttling for Kafka brokers. Her background spans high-throughput distributed systems, telemetry platforms, and backend services using technologies like Kafka, Druid, Golang, Scala, and Python. An active contributor to Apache Druid, she has implemented backend improvements, added self-discovery endpoints, and enhanced logging and metrics for production-grade analytics clusters. Trained at Carnegie Mellon, she combines rigorous engineering fundamentals with hands-on experience running some of the largest Druid and Kafka deployments in the world.
11 years of coding experience
9 years of employment as a software developer
Master's degree Software Engineering, Master's degree Software Engineering at Carnegie Mellon University School of Computer ScienceBachelor of Technology (B.Tech.) Infor, Bachelor of Technology (B.Tech.) Infor at Coimbatore Institute of Technology
English, Tamil
Github Skills (8)
javas10
backend10
apache-druid10
back-end-development10
java10
testing10
metric9
kafka9
Programming languages (6)
Github contributions (5)
apache/druid
Dec 2020 - Aug 2021
Apache Druid: a high performance real-time analytics database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 reviews, 6 commits, 9 PRs in 8 months
Contributions summary:Harini contributed to the Apache Druid project by implementing various backend improvements and enhancements. Their work involved modifying the `indexer` service configuration path and adding a self-discovery endpoint for the indexer. The user also addressed test-related issues, ensuring proper functionality. Furthermore, they improved logging and added a metric to monitor the notices queue size within the seekable stream supervisor.
real-timebig-datadruiddatabasehadoop
confluentinc/druid-operator
Jul 2021 - Jul 2021
Druid Kubernetes Operator
Contributions:9 PRs, 16 pushes, 6 branches in 7 days
kubernetes-operatorkubernetesoperatordruid
Find and Hire Top DevelopersWeāve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.