Victor Seifert
Victor Seifert
Practice Lead Data & AI Engineering
Victor has been part of Alexander Thamm [at] since 2016 and specialized in Data Engineering with a focus on ELTL pipelines and cloud architectures. Over the years, he has delivered numerous data platform projects based on DWH, Data Lake and Lakehouse architectures, as well as Data Mesh principles. His work includes building complex data ingestion and transformation pipelines and implementing diverse use cases across a wide range of data sources, formats, and systems.
In his talks and publications, Victor breaks down complex data engineering topics into clear, practical insights for a broad audience.
Languages: DE & EN
Latest Keynotes
- Migrating a Data Lakehouse Platform from Synapse to Databricks - Best Practices & Lessons Learned (2025). Databricks World Tour - Pre-Conference Dinner.
Selected Publications
- The Playful Approach To Teaching How To Program: Evidence By A Case Study (2017). ICL: ‘International Conference on Interactive Collaborative Learning’
- The Playful Learning Approach For Learning How To Program: A Structured Lesson Plan (2017). 30th Bled eConference: ‘Digital Transformation - From Connecting Things to Transforming Lives’
- Teaching How to Program With A Playful Approach: A Review Of Success Factors (2017). IEEE EDUCON: ‘Global Engineering Education Conference’
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