Microsoft Power BI Experts in Cologne

• Planning, optimization, and analysis of SEA and Meta campaigns
• Planning and execution of automations and mailings
• Optimization of landing pages (funnel, structure, copy, image)
• Creation of creatives, media plans, and reports
• Planning and support for the move to server-side tracking

Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.

Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows

• Structured analysis and evaluation of business processes

• Gathering, documenting, and prioritizing requirements

• Creating business-friendly and technically executable process models

• Use of Camunda tools

• Deriving requirements and interfaces from BPMN diagrams

• Coordination with stakeholders and business units

• Translating business requirements into technical solution designs

• Implementing efficient and tailored applications

• Systematic collection, analysis, and documentation of requirements

• Prioritizing and validating requirements in close collaboration with stakeholders

• Alignment between business and development to ensure shared objectives

• Creating use cases, user stories, and acceptance criteria

• Continuous requirements and change management throughout the project lifecycle

• Define project goals and create project plans

• Delegate tasks and monitor project progress

• Monitor budgets and inform stakeholders

• Mendix: Architecture, development, and maintenance of custom applications (Microflows, Domain Model, Security, XPath)

• Modeling Mendix workflows for process optimization

• Develop scalable apps with Mendix including REST/SOAP integration with SAP, SQL, Azure & SharePoint

• UI design for Mendix using Atlas UI, Fluent UI, HTML, CSS, JavaScript

• Develop web & mobile apps with Mendix using agile methods (Scrum, Kanban)

• Implement business logic with Mendix Microflows and Nanoflows

• Performance optimization and architecture improvements for Mendix applications

• Conduct Mendix training

• Create technical documentation and best practices for Mendix

• Coaching and mentoring for low-code development with Mendix

• Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
• Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
• Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
• Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
• Requirements management and test coordination when implementing clinical requirements in complex IT structures.

• Developed data-driven performance strategies and managed cross-functional agency teams.
• Led KPI forecasting, budgeting, and implemented scalable creative solutions.
• Linked creative insights with analytics to increase marketing efficiency.
• Developed inspiring campaigns based on brand strategy and data-driven insights.
• Performed budget planning, forecasting, and full KPI accountability.
• Led and executed an agency pitch for performance marketing.

• Design and implementation of a concept for assessing physical climate risks and mapping risks under the Supply Chain Act (LkSG)
• Effective communication

Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.

• Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
• Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
• Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.

Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI

AI Strategy & Enablement for SMEs Management consulting – SMEs (e.g. marketing boutique, IT & office services)

Concept and delivery of structured AI introduction and strategy workshops for small and medium-sized businesses. Result: Practical AI status assessment, prioritized use case list, and management decision template as the basis for the next steps in the company’s AI development.

Activities

• Needs analysis and individual preparation of the consulting formats
• Facilitation of a structured AI status assessment including vision, mission, and target picture
• Identification and prioritization of relevant AI use cases and action fields
• Creation of management decision templates and roadmaps
• Raising awareness for opportunities, risks, and success factors of AI introduction
• Support for first customers with AI-supported automation scenarios
• Supporting people and teams through the change process of AI introduction (CM)

Methods / Tools / Technologies

Methods:

• AI status assessment & use case analysis
• Workshop moderation / facilitation
• Requirement Management
• Change Management (PROSCI)

Tools:

• Generative AI tools (e.g. ChatGPT, Claude)
• Automation/AI coding tools (e.g. n8n, Claude Code, Visual Studio, Antigravity)

Technologies:

• Prompt engineering
• AI workflow automation

• Advising primarily mid-sized companies on growth and transformation topics
• Developing business models, positioning, and strategies, including implementation plans and KPI roadmaps

• Led the global HRIS transformation program (16 country units): program setup, PMO, phase planning, status reporting, and steering up to partner/SteerCo level
• Built an HR readiness assessment framework (6 dimensions, weighted scoring) as a decision basis for implementation and AI maturity — mandated by the board as the project outcome
• HR process architecture: analysis of 80+ level-3 processes and 87 ISO process documentations across 13 country clusters; gap analysis and harmonization roadmap
• Designed agentic AI HR processes (hiring, onboarding, probation period management) on SAP S/4HANA Private Cloud and ServiceNow — human-in-the-loop design, process screening for agentic potential, decision paper at partner level
• HRIS market analysis: vendor screening, criteria framework, and evaluation logic for system selection
• HR target operating model: organizational analysis, archetype framework (9 dimensions), governance design for a global HR function
• Self-assessment tools and workshop formats for 16 country HR teams incl. nomination and stakeholder management; SharePoint project hub and communication architecture
• AI-supported consulting delivery: my own Claude-based working model for analysis, document creation, and project management — one consultant delivering program output

• Special topics such as IFRS 9 / posting of complex syndicated loans
• Accounting for 2 subsidiaries

• Responsible for the architecture and development of an AI-native SaaS platform for industrial product portfolio management.
• Designed the modern data platform architecture on Azure for scalable analytics and enterprise data integration.
• Built enterprise data ingestion and transformation pipelines across complex industrial system landscapes.
• Developed graph-based representations of product structures and dependencies for analytical reasoning.
• Designed and implemented an agentic AI framework for AI-supported decision workflows.
• Built scalable analytical microservices and integrated reporting through modern BI technologies.
• Coordinated backend, AI, and frontend development across the MYNR platform stack.

• Network elements, network, operational and operator-related systems
• Supporting around 20 different products (managed agile)
• Requirements analysis and management (functional and non-functional)
• Test concept and planning (scope, test phases, effort, schedule, resources, organization, etc.)
• Aligning approach with clients and service providers
• Managing and assisting in creation of test cases for system, integration and end-to-end tests
• Guiding and supporting test execution
• Defect management and planning bug fixes with external providers
• Preparing and facilitating workshops
• Regular reporting and creating automated test reports
• Further development of agile testing methodology and configuration of supporting tools
• Conceptual support in developing a quality seal for rating product and service quality of internal and external providers
• Requirements engineering based on ISO/IEC 25010, Scrum, SaFE
• BMC Remedy, Atlassian Confluence, Atlassian Jira (including plugins Xray, Structure), Microsoft Office (incl. Visio), Obsidian, doxis document management system, Gitlab, Obsidian

• Built clear operational structures for a growing team of 7 employees
• Relieved management by clarifying processes, prioritization, and taking operational responsibility
• Introduced clear interfaces between management, the team, and operations