Adithya Chandra
Principal Engineer at Confluent
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolAdithya Chandra is a Principal Engineer with 14 years of experience building high-performance, distributed systems and scalable infrastructure from San Jose. He currently focuses on Kafka scalability and performance at Confluent, bringing deep expertise in streaming systems and production tuning. Previously at Amazon he led cluster management for Open Distro for Elasticsearch and contributed to the storage engine and global database features for Amazon Aurora, driving availability, cost, and partition-placement improvements. His early work at Adobe on Dreamweaver reflects a long-standing interest in shipping widely used products. He holds advanced engineering training from MIT and a B.Tech in Computer Science from NIT Karnataka, combining rigorous academic grounding with hands-on production experience. Colleagues would note his knack for translating complex distributed-system tradeoffs into pragmatic, measurable improvements that scale to millions of users.
13 years of coding experience
7 years of employment as a software developer
Advanced Study Program, Engineering, Advanced Study Program, Engineering at M.I.T.Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at National Institute of Technology Karnataka
English, Kannada, Hindi
Github Skills (37)
kafka10
elasticsearch-plugin10
role-based10
masking10
analyzer9
meilisearch9
java9
scala9
audit-logging9
indices9
role-based-access-control9
apache-kafka9
logging8
distro8
authentication8
Programming languages (4)
Github contributions (5)
ditac/ditac.github.io
Dec 2020 - Apr 2023
Contributions:36 pushes, 1 branch in 2 years 4 months
ditac/performance-analyzer
Mar 2019 - Jul 2019
Contributions:1 PR, 37 pushes, 15 branches in 4 months
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