Leon Giesen is a DevOps and Big Data engineer with nine years of experience blending automation, Kubernetes, vSphere and data engineering to deliver observability and platform automation solutions. He combines a social-science grounded perspective from a BA in Sociology with training in Econometrics and Data Science, which sharpens his focus on measurable, user-centered data products. As a consultant at SVA and a former data engineer at evoila, he has architected scalable pipelines and productionized analytics for enterprise environments. Now at Buhl Tax Services he applies that stack-level expertise to operationalize resilient platforms and streamline developer workflows. A self-taught hobby programmer and Terraria modder, he brings hands-on curiosity and practical tinkering to professional automation challenges. He stays current by actively experimenting with new tools and techniques to continuously improve observability and platform reliability.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Sociology, 2.5, Bachelor of Arts - BA, Sociology, 2.5 at Johannes Gutenberg-Universität Mainz
Contributions:31 commits, 1 PR, 46 pushes in 1 year 7 months
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Leon Giesen - DevOps Engineer at Buhl Tax Services GmbH