Matthew Howlett is a seasoned software engineer with 16 years of experience specializing in Java, systems-level work, and automation, with a strong background in finance-related software. He contributes to high-profile open-source Kafka projects at Confluent, improving client libraries across Go, Python, C/C++ and .NET and adding Confluent Cloud examples and transactional features that help users adopt exactly-once processing. Comfortable working onsite with clients or as part of distributed virtual teams, he quickly learns new technologies and pivots between core library development and user-facing documentation. Based in College Station, Texas, he brings a practical blend of academic training (MPhys, MSc) and hands-on engineering that favors clarity, reliability, and reproducible examples for complex distributed systems.
Contributions:32 releases, 375 reviews, 585 commits in 6 years 1 month
Contributions summary:Matthew's contributions focused on enhancing the .NET client for Apache Kafka, specifically targeting transaction-related APIs. They worked on implementing full exactly-once processing capabilities, integrating with FASTER for state management, and providing a transactional word count example. The user's work included modifications to the producer implementation, improved exception handling and related documentation, and the development of a transactional word count example.
Contributions:120 reviews, 63 commits, 65 PRs in 5 years 7 months
Contributions summary:Matthew primarily contributed to the `confluent-kafka-python` repository by developing examples and making configuration changes related to Confluent Cloud integration. Their work involved creating a `confluent_cloud.py` example demonstrating how to produce and consume messages from Confluent Cloud. They also refactored and simplified the configuration of the examples, optimizing the code for clarity and ease of use. Furthermore, the user addressed review comments and made various adjustments, ensuring the code's functionality and compliance with best practices.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.