Business Analytics

I design and develop modern data platforms with Microsoft Azure and Microsoft Fabric and the products of these cloud platforms.

  • Data Lake and Data Warehousing
  • Date Lakehouse and Medallion Architecture
  • Development with Python and SQL
  • Data Integration with Data Factory and Apache Spark
  • Analysis with Azure Synapse Analytics
  • Data Science with Data Mining, Machine Learning in Azure and Python and R

Services

You can develop extensive data platforms with MS Fabric and MS Azure.

MS Fabric

  • Data Engineering with Data Factory, Python and Apache Spark
  • Data Lake and Data Warehouse development with SQL and Python
  • Data Science
  • Business Intelligence

MS Azure

  • Data Lake and Data Lakehouse development
  • Data Engineering with Azure Data Factory and Apache Spark / Python
  • Business Intelligence with Azure Analysis Services
  • Azure Synapse Analytics
  • Data Science

Reporting

  • MS Power BI, DAX, M
  • Azure Synapse Analytics (with Synapse Studio)
  • Azure Data Explorer (ADX)
  • Azure Analysis Services

Data Science / ML

  • Azure Machine Learning (Azure ML) and Python development (scikit-learn, TensorFlow, PyTorch)
  • Azure Synapse Analytics
  • Azure Data Factory for ML orchestration

References

Over the last 15 years, I have (co-)implemented data platforms and reporting systems for various industries and at very different locations.

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Public Administration

  • Data warehouse for the analysis and forecast of tax revenues and tax expenditures at a government agency (Berlin)
  • Data warehouse for the analysis and forecast of labor market data at a government agency (Vienna)

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Banks / Insurance Companies

  • Integration of banking systems in a DWH for regulatory reports of a regional bank (Kiel)
  • Reporting for structured financial products (Zurich)
  • Data warehouse for a health insurance company (Stuttgart)
  • Reporting system for a health insurance company (Vienna)

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Industry

  • Conducting and analyzing employee surveys with comprehensive reporting for a human resources consulting firm (Munich)
  • Competition monitoring system for evaluating the technological lead of a telecommunications company (Berlin)
  • Data warehouse for web shop data (Hamburg)
  • System for reporting in market research for a beverage retail company (Berlin)