Hannes Müller
Business Intelligence Engineer Ii - Amazon Fresh International @Amazon
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WORK HISTORY
Business Intelligence Engineer Ii - Amazon Fresh International @Amazon
Munich, DE
Own the data architecture and delivery standards for Supply Chain & Inventory Planning data products across Amazon Fresh International, aligning platform decisions with strategic business goals- Provide technical leadership and direction to analysts and engineers across EU & APAC, defining standards for data modeling, pipelines, and deployment- Partner with senior stakeholders to translate business challenges into scalable, reliable data products with clear ownership and governance- Designed and rolled out an enterprise KPI and semantic data framework, including core data models and governed definitions, implemented via AWS Glue, Athena, and Redshift- Architected a CI/CD‑driven analytics platform with built‑in validation, improving deployment speed by 40% while increasing reliability and cost efficiency of production datasets- Designed and built an AI‑augmented data access layer using Retrieval‑Augmented Generation (RAG), enabling natural language querying over governed datasets- Delivered an automated insight generation and reporting system (AWS Bedrock + Quip API), producing business‑review narratives with KPI driver attribution.
EDUCATION
DTU - Technical University of Denmark
Master of Science (M.Sc.), Management Engineering
Technical University of Munich
Bachelor of Science (B.Sc.), TUM-BWL
Technical University of Munich
Master of Science (M.Sc.), Management and Technology
ABOUT HANNES MÜLLER
As a Business Intelligence Engineer, I bring over 4 years of dynamic experience in various roles within the Business Intelligence landscape. My journey includes contributing significantly to Amazon Fresh and Amazon\'s EU-wide transportation network planning.My expertise lies in crafting reliable data pipelines, designing user-friendly dashboards, and implementing efficient automated solutions. I am proficient in tools such as Tableau, Quicksight, SQL, and Python, with a track record of turning complex data into actionable insights.My strength lies in my analytical skills and the ability to grasp intricate processes. Committed to continuous learning, I stay updated on the latest technological advancements in the field to keep my skills relevant.
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