Sven Schermeng

• Design and implementation of Lakehouse Data Platform including CI/CD pipelines and IaC • Build Data Transformation Framework to handle common data operations within Medallion Architecture (e.g. ingestion, deduplication, writes/merges) • Onboarding and Training of OnPrem Data Engineers to Cloud • Build Data Pipelines from Data Ingestion to Business Layer • Setting up Network Security for Data Platform in Collaboration with IT Infra Department and external consultants

• Consulting projects on topics around data science and data engineering on Microsoft Azure • Full stack data science projects, starting from data analysis, building data products and deploying with CI/CD pipelines • Supporting Data Engineers in building an Azure Data Platform

Build large-scale data pipelines using PySpark to transform and analyse vehicle data collected from millions of vehicles around the world (i.e. Car Data Cockpit, Vehicle Data Feature Store)