Robert Barrett
Software Engineer at Confluent
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRobert Barrett is a software engineer based in San Jose with seven years of experience building scalable back-end systems, currently contributing at Confluent and previously working on web protocols and big-data platforms at Microsoft. He is proficient in Java and C# and has hands-on experience with Hadoop, Hive, and Tez, bringing deep familiarity with distributed data processing. Robert has contributed to the high-profile Apache Kafka codebase, fixing partition follower bugs, optimizing segment handling for compacted topics, and improving core logging and producer metadata behavior. His background in computer science with a bioinformatics specialization from UC San Diego underpins a practical, analytical approach to complex systems. Colleagues rely on him for solid server-side logic and pragmatic fixes that improve reliability in production distributed systems. He combines open-source craftsmanship with enterprise-grade engineering to deliver robust data infrastructure.
8 years of coding experience
University of California San Diego
English
Github Skills (16)
tcp-protocol10
javas10
communication-protocol10
protocols10
apache-kafka10
messaging10
java10
scala10
jtest9
junit9
datastructures-algorithms8
algorithms8
data-structures8
algorithm8
concurrency8
Programming languages (4)
Github contributions (5)
apache/kafka
Aug 2018 - Feb 2021
Apache Kafka - A distributed event streaming platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 58 commits, 36 PRs in 2 years 6 months
Contributions summary:Robert contributed to the Apache Kafka project by implementing and improving core features, focusing on the server-side logic. Their work included addressing bugs related to partition followers, optimizing segment handling for compacted topics, and resolving issues with empty control batches in various components. They also added logging improvements and addressed a bug related to the producer's metadata, demonstrating a strong understanding of Kafka's internal workings. These changes involved modifications to core classes such as `Log`, `LogManager`, and `Partition`.
apache-kafkascalakafkajavastreaming
bob-barrett/kafka
Jul 2018 - Sep 2018
Mirror of Apache Kafka
Contributions:14 pushes, 13 branches in 1 month
kafka-streamsapache-kafkaapachekafkajava
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