Raphael is an experienced Data Engineer and Data Analyst, which has been implementing companies for several years data-driven strategies supports. With a clear focus on Microsoft Data Stack, in particular Microsoft Fabric, Azure and Power BI, it helps companies improve their data infrastructure future-proof to design and efficiently use the potential of data. Raphael combines advanced code-based tools such as Python, Apache Spark and SQL with low-code/no-code solutions to create rapidly scalable, cost-effective and maintainable data architectures to develop.
Raphael Fischer
Data Engineer
Suggested topics for keynotes
- Introduction to Microsoft Fabric: The all-in-one data platform
- Microsoft Fabric: A practice check after one year and project experience
- How Microsoft Fabric makes it easy to automate data processes and integrate data sources
- Modern data architecture and modeling: The combination of medal architecture, data vault and dimensional model
- Azure as a basis for companies: scalable and flexible cloud infrastructures
Automation and ChatGPT
Success factors for data analytics
Maximize data ROI
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