Nils Denter
Data Scientist - Logistics Data Hub @Volkswagen Group
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WORK HISTORY
Data Scientist - Logistics Data Hub @Volkswagen Group
Wolfsburg, DE
Develop and deliver end-to-end cloud-native data products that support logistics optimization and strategic decision-making- Design and automate scalable ETL pipelines using AWS Glue, Athena, Step Functions, and EventBridge- Build interactive, data-rich dashboards in AWS QuickSight to communicate real-time operational insights- Present analytical findings and business recommendations to senior stakeholders and executive leadership- Apply agile project management practices using Jira and maintain clear documentation in Confluence- Collaborate cross-functionally with data engineers, analysts, and logistics experts to turn raw data into actionable outcomes.Keywords: AWS Data Engineer · Data Science in Logistics · ETL Automation · Cloud Data Pipeline · Supply Chain Analytics · AWS Analytics Stack · Data Visualization · Agile Data Projects · Business Intelligence · AWS Athena & Glue · QuickSight Dashboards
EDUCATION
University of Bremen
M.Sc., Management and Production Engineering
University of Bremen
B.Sc., Management and Production Engineering
University of Bremen
Dr. rer. pol., Economics
ABOUT NILS DENTER
Experienced Data Scientist with a strong focus on cloud-native analytics, data product development, and logistics optimization. At Volkswagen Group Logistics, I design and implement scalable data solutions using the AWS ecosystem (Athena, Glue, Step Functions, EventBridge) to drive efficiency and insight across the supply chain.My expertise lies in bridging the gap between data engineering and business intelligence – automating data workflows, building intuitive dashboards in AWS QuickSight, and delivering actionable insights to operational teams and executive stakeholders.Working in agile, cross-functional teams with tools like Jira and Confluence, I ensure fast iteration, clear documentation, and impactful results.I\'m passionate about turning complex data into measurable business value — especially in dynamic environments like logistics, manufacturing, and operations.Core strengths:• Cloud Data Architecture (AWS)• Data Science in Logistics & Supply Chain• ETL & Data Pipeline Automation• Data Visualization & Business Intelligence• Agile Collaboration & Product ThinkingLet’s connect if you\'re working on or curious about cloud data platforms, applied analytics, or digital transformation in logistics.
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