Chaitanya Chadalavada is a software developer and database engineer with 2–3 years of experience building large-scale, low-latency platforms and cloud-native data systems. With a Master’s in Computer Science from Purdue and an electronics background from NIT Kurukshetra, he bridges hardware-aware thinking with modern distributed software practices. He’s proficient across C++, Java, Python and JavaScript and has hands-on experience with Spring Boot, Flask, Hadoop/Spark, Kafka, Cassandra and AWS. Chaitanya contributes to Apache Pinot—improving stability, dependency hygiene, and realtime OLAP features—which reflects his focus on production robustness and metadata-driven workflows. Based in Mountain View, he enjoys simplifying infrastructure and developer experience to accelerate both application and data engineering productivity.
2 years of coding experience
Bachelor's degree, Electronics and Communications Engineering, Bachelor's degree, Electronics and Communications Engineering at National Institute of Technology Kurukshetra
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Purdue University
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Contributions:70 reviews, 33 PRs, 98 comments in 1 year
Contributions summary:Chaitanya primarily contributed to upgrading dependencies and fixing bugs within the Apache Pinot codebase. Their work involved upgrading the Reflections library, addressing a bug related to inverted index handling, and resolving issues in the server and controller APIs. The user also made changes to UI-related API and implemented new features for segment reloading and metadata updates. These contributions reflect a focus on improving the system's stability and functionality.
Apache Pinot - A realtime distributed OLAP datastore
Contributions:133 PRs, 317 pushes, 29 branches in 1 year
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