Matteo Pelati is a software architect, manager and entrepreneur based in Singapore with over 20 years of experience building data-intensive systems and founding startups. He has led large engineering organizations—over 130 engineers at DBS and global data teams at Goldman Sachs—delivering bank-wide data platforms, streaming and batch pipelines using Kafka, Spark and modern ML tooling. A hands-on technologist, he contributes to open source (notably core backend work on Dozer in Rust) and has deep experience designing, implementing and shipping big data analytics and machine learning products from the ground up. He co-founded LangDB, advises FeatureByte, and has a track record of turning product vision into scalable architecture across telco, finance and consumer domains. Notably, his contributions span both high-level platform strategy and low-level engineering details such as state-store integration and record versioning in real-time data movement systems.
Dozer is a real-time data movement tool that leverages CDC from various sources and moves data into various sinks.
Role in this project:
Back-end Developer
Contributions:91 reviews, 78 commits, 65 PRs in 6 months
Contributions summary:Matteo contributed to the core backend functionality of Dozer by implementing features related to data movement and aggregation. The commits demonstrate expertise in the Rust programming language, with changes focusing on the `dag` and `aggregation` modules, including improvements to the executor and integration of a state store. Further work included the introduction of a `version` field to the `Record`, which indicates database operations and their order.
Contributions:16 reviews, 30 PRs, 71 pushes in 3 months
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