Jorge Machado is a founder and data engineering leader with 11 years of experience building and optimizing distributed big data systems for enterprise customers. As CEO of Datamesh GmbH and a long-time freelancer, he designs data architectures and implements scalable Spark and Hadoop solutions—often writing custom Spark data sources and geospatial processing in Scala. He brings practical cloud experience on AWS (EMR, Redshift) and a background in SAP/Linux/Oracle operations that gives him uncommon end-to-end visibility into infrastructure, data pipelines and enterprise constraints. Jorge is a hands-on engineer who prefers Scala but pragmatically uses Python for broader adoption and tooling. He’s known for performance-minded cluster sizing, Spark optimization and migration work, and for translating complex legacy landscapes into modern data platforms. Based in Würzburg, Germany, he combines academic training in networking and communications with real-world delivery across on-prem and cloud environments.
11 years of coding experience
Master's degree Networking and Communications Services, Master's degree Networking and Communications Services at ESTG - Politécnico do Porto
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