DAX Studio Experts in Germany

• Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
• Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
• Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
• Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
• Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
• Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
• Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
• Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
• Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.

• Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
• Implementation of automated end-to-end cloud processes
• Development of LLM and NLP models
• Creation of interactive reports
• Support for national and international large corporations as well as medium-sized companies in implementing ML projects

• Development of Power BI reports, measures, and KPIs for sales, purchasing, materials management, warehousing, and production
• Analysis of the proALPHA database (Progress OpenEdge) and high-performance SQL queries for extraction and transformation
• Data models, ETL processes, and pipelines including automated refresh via Power BI Service and Data Gateway
• Gathering requirements and implementation in close coordination with the specialist departments

Selected projects:

• Sales report: revenue, incoming orders, and order status
• Purchasing report with automated purchase suggestions (Power Automate)
• Monitoring of missing parts for production and materials management
• Production bills of materials on Microsoft Fabric including deployment pipeline (Dev → Prod)
• Forecast comparison report
• Central Power BI apps that bundle all reports by department

Technologies: Power BI, DAX, Power Query (M), SQL, proALPHA, Progress OpenEdge, Microsoft Fabric, Power Automate, Python

• Gathered and analyzed requirements in close collaboration with business departments to develop data-driven solutions and scalable PowerBI reporting infrastructures.
• Conducted detailed error analyses and optimized existing semantic and data models to ensure a robust data architecture and high data quality and to improve PowerBI reporting.
• Developed and implemented scalable ETL processes for data preparation and integration.
• Built a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and key performance indicators.

• Establishing the Microsoft Fabric platform with the company as the central data warehouse and reporting system.
• The company migrated several operational systems including D365 to new version. The new data warehouse is based on a Fabric/Power BI architecture with Azure cloud Entra Authentication.

Tasks Performed:

• Full administrative responsibility for the Fabric platform F64 and F32 capacities, as well as two F8 capacities for development and prototyping.
• Integration of Fabric with Microsoft Entra.
• Data modeling for the data warehouse bronze, silver and gold layers using data modeling tools.
• Star Schema as well as entity relationship modeling.
• Data modeling for data marts and for dimensional modeling and Power BI (semantic model).
• Design of data models for Microsoft SSAS multidimensional and tabular OLAP cubes using DAX and MDX.
• Definition of design patterns for the ETL team for loading OLAP cubes (Tabular and MD), star schemas and data vault structures.
• Planning and managing team of 4 ETL and reporting developers.
• Performance Tuning of Power BI reports, particularly the semantic layer, as well as the Fabric notebooks
• SQL Performance Tuning.
• DB Design for Azure SQL.
• Reporting directly to project senior management.

Label: Power BI, Fabric, Analysis Services (multidimensional and tabular), D365, SSIS, Tabular Editor, SQL Server and Azure SQL, TOAD Data Modeler, DBSchema, Visual Studio Code, DAX Studio, SSMS, Visual Studio, Jira and Confluence.

• Optimized the patient journey through big data analysis and cross-functional collaboration
• Regionalized NICU centers with 86% coverage using mathematical models
• Developed patient flow and geoprocessing models with Python and ArcGIS, resulting in an 18% increase in efficiency
• Built simulation models to optimize bed utilization and reduce waiting times with Rockwell Arena
• Developed analytical dashboards in collaboration with clinical experts
• Implemented machine learning algorithms for birth predictions and cross-functional prescription analyses

• Creation of the profit center report and statistical metrics report
• Gathering and analysis of requirements regarding the forecast for revenue and costs
• Implementation of various time series analyses and optimization of forecasts
• SAP process knowledge, SQL, Python
• Python with various libraries for time series analysis and Machine Learning