Lianet Magrans
Staff Software Engineer at Confluent
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolLianet Magrans is a Staff Software Engineer based in Montreal with over a decade of engineering experience and three years in senior platform roles, currently at Confluent. She brings deep backend and distributed-systems expertise, having contributed refactors to the Apache Kafka Java client—extracting reusable offset-fetching logic used by Kafka consumers. Prior to Confluent she led architecture and IoT platform work as Principal Software Architect at AMTech, where she helped deliver full-stack PaaS solutions and contributed to sensor networks and patented systems. Her background spans asset-tracking, ERP, and remote data-storage projects, reflecting a practical blend of product-focused engineering and systems design. Colleagues describe her strength as improving internal implementation quality—cleaning up complex client internals rather than just adding features. She combines hands-on coding in production systems with an architect’s eye for reusable abstractions and long-term maintainability.
3 years of coding experience
15 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Faculty of Mathematics and Computer Science , University of Havana
Spanish, English, French
Github Skills (5)
javas10
kafka10
client-library10
back-end-development10
java10
Programming languages (3)
Github contributions (5)
apache/kafka
May 2023 - Apr 2025
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1285 reviews, 164 PRs, 82 pushes in 1 year 11 months
Contributions summary:Lianet contributed to the refactoring of the `OffsetFetcher` logic in the `kafka` repository. The changes involved extracting reusable logic from the `OffsetFetcher` class to be utilized by the new consumer implementation. The user implemented utility functions for fetching offsets, validating, and resetting positions, demonstrating a focus on improving the internal workings of the Kafka consumer. These changes involved code modifications in the Java client libraries, showcasing their expertise in the Kafka client internals. The changes focused on code extraction and refactoring.
apache-kafkakafka-consumerapachescalakafka
lianetm/kafka
May 2023 - Apr 2025
Mirror of Apache Kafka
Contributions:657 pushes, 117 branches in 1 year 11 months
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