Stéphane Maarek is an entrepreneur, engineer and educator with nine years’ experience building and scaling data streaming products and training millions of engineers worldwide. As co-founder of Conduktor he helped raise $22M to build a best-in-class Apache Kafka platform and led engineering contributions around connector development and Kafka security testing. He is the #1 Udemy Business instructor with 1.5M+ students globally, teaching AWS and Kafka while running DataCumulus to deliver professional training at scale. Hands-on in back-end, DevOps and testing, Stéphane’s open-source work includes Kafka connectors, a GitHub-source Kafka Connect connector and robust Scala tests for Kafka ACL management. An angel investor and former consultant, he blends rigorous applied math education with product-minded engineering to spot overlooked problems and turn them into practical, high-impact solutions. Based in Portugal, he frequently combines travel and teaching to stay close to his global learner community.
Contributions:2 reviews, 42 commits, 15 PRs in 3 years 7 months
Contributions summary:Stéphane primarily focused on implementing gRPC services for a calculator application. They developed the necessary protobuf definitions, including request and response messages. Furthermore, the user built both the server-side and client-side components, showcasing a strong understanding of gRPC communication and service implementation in Go. The commits demonstrate a focus on creating the core functionalities of the calculator service, including unary and streaming RPCs.
Contributions:18 releases, 12 reviews, 131 commits in 3 years 10 months
Contributions summary:Stéphane primarily focused on adding tests and integration within the repository, contributing to the overall testing strategy. They developed unit and integration tests for core functionalities, specifically within the `AclSynchronizer` and `CsvParser` components. Their work involved writing Scala code for testing, demonstrating a focus on improving code quality and ensuring the reliability of the Kafka security manager.
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