Sebastian Rühl is a data engineer with 10 years of experience specializing in Azure-based BI and cloud data platforms, delivering ETL/ELT pipelines, data lakes, data warehouses, CI/CD and reporting at inovex. He holds a Master’s in Computer Science from LMU Munich and combines solid academic grounding with practical experience in production analytics and machine learning tasks. His early work ranges from building management software and migrating MS Access to Oracle to hands-on BI and ESP administration, showing a pragmatic full-stack approach to data problems. An international research internship in Japan on retweet dynamics reflects his long-standing interest in applied data science and social network prediction. Based in Munich, he is comfortable bridging research insights and industrial-scale data engineering, often working at the intersection of analytics and ML readiness. Colleagues would describe him as technically thorough, curious about model-driven insights, and effective at translating analytical needs into reliable cloud data solutions.
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