Levani Kokhreidze is a Principal Engineer with 11 years of experience specializing in stream processing platforms, JVM-based systems, and data engineering. At Wise he has progressed from software engineer to tech lead and now leads the Realtime Data team, shaping production Kafka and Flink-based streaming infrastructure. A hands-on contributor to the Apache Kafka project, he has implemented features like KStream#repartition and improved core assignor logic, bringing open-source insights back into enterprise systems. He combines deep backend expertise in Java, Kafka Streams and Kubernetes with practical leadership in operating high-throughput, low-latency data pipelines. Not an active blogger but an occasional writer, he documents the streaming platform built at Wise and enjoys giving back through targeted OSS contributions.
11 years of coding experience
6 years of employment as a software developer
University of Georgia
Master of Science (M.Sc.) Computer Software Engineering, Master of Science (M.Sc.) Computer Software Engineering at University of Tartu
Contributions:85 reviews, 14 commits, 17 PRs in 2 years 6 months
Contributions summary:Levani contributed to the Apache Kafka project by implementing and refactoring core functionalities. They made minor improvements to existing code, such as optimizing the `StreamsPartitionAssignor` class. They also implemented new features like `KStream#repartition` and updated documentation. Furthermore, the user addressed issues related to the `kafka-streams-application-reset` tool and enhanced the test suite.
Contributions:282 pushes, 18 branches in 4 years 3 months
kafka-streamsapache-kafkasinkksqldbkafka-consumer
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