Prachi Khobragade
Senior Software Engineer at LinkedIn
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolPrachi Khobragade is a Senior Software Engineer with 11 years of experience building high-performance distributed systems, currently developing Kafka features and systems infrastructure at LinkedIn in the San Francisco Bay Area. She has deep backend expertise in Java and Python and a strong track record at scale from video transcoding at Yahoo to realtime OLAP work on Apache Pinot, where she contributed reliability and performance fixes and realtime ingestion metrics. Prachi’s background spans cloud-native architectures on AWS, multithreading and trace-context reliability improvements, and pragmatic product-driven engineering early in her career at TCS and Tata R&D. A Master’s graduate from NYU, she combines academic rigor with production chops and a knack for boosting system efficiency—evidenced by a 40x runtime improvement she helped deliver on a prior data-generation product.
11 years of coding experience
6 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at New York UniversityBachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at University of Mumbai
Github Skills (20)
apache-pinot10
back-end-development10
testing10
java10
javas10
backend10
groovy9
stream-processing8
data-processing8
performance-optimization8
real-time-data8
metric8
realtime8
helix7
relational-databases6
Programming languages (1)
Github contributions (5)
apache/pinot
Mar 2022 - Aug 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:66 reviews, 4 commits, 10 PRs in 4 months
Contributions summary:Prachi primarily contributed to backend development within the Apache Pinot datastore, focusing on improving the system's reliability, performance, and functionality. Their contributions included bug fixes related to multithreading and trace context, enhancements to query options for replica groups, and modifications to handle null values in Groovy transform functions. Additionally, the user worked on adding freshness lag metrics for realtime data ingestion and integrating a Helix resource manager for metadata event handling.
realtimedata-streamolapapachedatastore
PrachiKhobragade/pinot
Mar 2022 - Nov 2024
Apache Pinot - A realtime distributed OLAP datastore
Contributions:56 pushes, 9 branches in 2 years 8 months
realtimecommonsolapapachedatastore
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