Marco Lotz is a seasoned engineering leader and Head of Data Platforms SRE & Operations based in Zurich, with 12+ years building and optimizing large-scale distributed systems from embedded firmware to petabyte-scale data platforms. He combines hands-on technical depth—tuning billion-row Spark jobs, designing immutable petabyte ingestion pipelines, and contributing to Apache Kafka—with senior-level stakeholder communication and global team leadership across Madrid, Zurich, Bratislava and Bangalore. A research-minded engineer with multiple patents in relational and graph systems, he applies graph theory in production to map dataset interactions and accelerate insights. Marco has a track record of significant cost optimizations (seven-figure cloud savings) and high-impact reliability work (higher 9s SLAs), and he still contributes to OSS JVM tooling such as docker-client enhancements in his spare time.
12 years of coding experience
9 years of employment as a software developer
Engineering Degree Electronics and Telecommunications Engineering, Engineering Degree Electronics and Telecommunications Engineering at Federal University of Technology - Parana
Associate student Electronics and Telecommunications Engineering, Associate student Electronics and Telecommunications Engineering at Queen Mary University of London
Contributions:8 commits, 4 PRs, 14 comments in 1 year 2 months
Contributions summary:Marco's primary contributions involved enhancing the Docker client for the JVM. They updated the `ContainerConfig` and `ContainerInfo` classes to support new API features and functionality. The user added features related to killing containers with signals and refactored container actions, demonstrating a focus on improving container management capabilities within the client.
Contributions:9 commits, 6 pushes, 8 comments in 1 year 4 months
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Marco Lotz - Head Of Data Platforms SRE & Operations