SAP BusinessObjects Experts

I continuously expand my expertise in AI and automation. I work with ChatGPT, OpenAI, Manus, Gemini, MS CoPilot, APIs, LangChain, Hugging Face, Manus, TensorFlow, and Auto-GPT, as well as Python-based ML frameworks and MLOps tools, to intelligently transform traditional software development, analysis, and testing processes.

• Gathering information
• Creating rollout wave concepts
• Coordinating employees
• Monitoring and managing activities
• Project management including analysis and reporting to the board
• Creating instructions and specifications
• Training floorwalkers
• Supporting the rollout on site
• VIP support
• Introducing SharePoint

• Designed and implemented enhancements in SAP BW on HANA 7.5 in the context of CRM migration and S/4HANA and BW/4HANA transformation programs
• Migrated SAPI data sources to the ODP framework as part of the S/4HANA migration
• Delivered SAP ECC data to Snowflake using BW data models and Calculation Views for Power BI analytics
• Integrated SAP and non-SAP data sources (including MS Dynamics)
• Improved reporting transparency through consolidated data models
• Optimized data loading processes for FI-CO data sources, significantly improving load times and system performance

• Defined and established the areas of responsibility
• Built a governance model for the department and its areas of responsibility
• IT strategy, project management, process management, and quality and sustainability management
• Developed a communications strategy for the group
• Created the IT strategy
• Designed templates, guidelines, and processes for consistent ways of working
• Recorded strategic guidelines and grouped ongoing projects – derived a roadmap for strategic planning
• Reviewed ongoing projects
• Prepared staffing calculations and capacity planning
• Defined job profiles

• 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.

• 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

Project, Strategic Consulting – building the Data Strategy and Data Governance Policy for the German branch, client (private bank Julius Bär, headquarters Zurich), March 2026 – present

• Design and negotiation of the data strategy with key stakeholders, including obtaining board sign-off (strategic consulting) – in this context, regulatory advice on data regulations in the EU and specifically for Germany. The data strategy includes: Data Lifecycle Management: data capture, data storage, data usage, data retention policy, data quality incident management
• Definition of milestones and technical feasibility for implementing TOM for the data strategy, data quality checks, metrics, and a metadata inventory to ensure the bank’s compliance with DORA, BCBS239, and MaRisk requirements.

Core project data change, client: (ING Bank, Frankfurt am Main), March – December 2025

• Concept development and solution design for new end-to-end processes including technical interfaces
• Definition of synchronization logic and data flows between legacy and target systems (decommissioning of legacy systems)
• Analysis and validation of data models
• Stakeholder communication with product owners, feature engineers, UX designers, and operational teams for decision-making
• Analytics and impact assessments, e.g. to assess downstream effects and regulatory requirements
• Documentation and comments on technical and business requirements to support implementation in agile squads

Project digitalization of a user group, client: (ING Bank, Frankfurt am Main), as Interim Product Owner, Jan 2025 – present

• Co-shaping key decisions on data architecture and process logic in the context of historized data and user login functionality
• Development of business solution concepts for migration to the target system, including system integration and data flows
• Support with analytics and impact analyses, especially regarding the ability to provide information to law enforcement authorities
• Active coordination with stakeholders from different squads to support decision-making and ensure regulatory requirements are met
• Creation of test scenarios for operational teams and backend systems in the area of API management using Postman and Bruno.

• Data Engineering: Design and implementation of scalable data pipelines
• Legacy migrations to Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines)
• BO Universe migrations to MS Fabric / Semantic Models / Power BI
• Taskforce for data-driven transformation projects involving Azure Fabric / Oracle / MSSQL

• Managed the Test & Acceptance & Quality Assurance subproject
• Project/program management according to Prince2
• Created and updated the subproject plan
• Managed resources
• Created and carried out tests, created tests in Azure DevOps, MS Dynamics etc.
• Process modeling
• Documented project progress with PowerPoint and SÖREN (in-house development)
• Acceptance of the respective tests by the end customer
• Monitoring and reporting of the subproject
• Budget: N/A
• Team: 4 people

• DWH modernization
• Migration from Informatica PowerCenter to IDMC/CDI
• Migration from IBM DB2 to Databricks

Technologies: Informatica IDMC, Databricks

• Built a Trend-Scouting AI system to automate technology intelligence in power electronics and semiconductors, combining Azure OpenAI with LangChain, Scrapy-based web crawling for structured, noise-free data acquisition, and automated PDF reporting for internal R&D use. Developed a FastAPI-based (Uvicorn) web application to validate LLM outputs, test prompt strategies, and enable interactive system evaluation.
• Developed a real-time STM32 binary telemetry debugger with a PyQt-based GUI, featuring header-based frame synchronization, anomaly detection, template-driven payload decoding, time-aligned buffering, and live signal visualization.
• Developed an AI-driven power inductor designer using surrogate regression models for accurate electromagnetic and thermal prediction. Integrated multi-objective NSGA-II optimization to generate efficient, manufacturable designs.

• Planning, defining, and executing test cases for product creation, measurement data upload, and chart verification
• Developing keyword driven function tests using Robot Framework
• Defining and generating realistic test data with Python
• Implementing data-driven and REST API interface tests
• Performing image comparison tests based on OpenCV
• Developing load tests for various environments
• Conducting regression and end-to-end tests, reporting results, and managing defects
• Systematic expansion of test coverage
• Integrating Jenkins with Xray for test management
• Managing tickets with JIRA and documenting in Confluence
• Used Robot Framework, Playwright, Python, VS Code, Prectavi, JIRA, Confluence & Xray, Bitbucket, GitHub, Jenkins, MS Office 365, and Teams in an agile project.

• Led a transformation program in corporate finance & procurement across 25+ countries
• Managed end-to-end implementation of SAP S/4HANA and Coupa for 60 regional entities
• Handled post-acquisition integrations including financial reporting, HR systems, and governance
• Directed cross-functional teams, change management, and stakeholder engagement
• Coordinated post-merger integration with the works council for IT system rollouts and GDPR compliance

• Development and maintenance of database-driven applications for managing supplier and food contracts, with extensive use of Oracle PL/SQL for complex business logic and data processing
• Optimization of PL/SQL procedures, functions, and triggers to ensure the performance and scalability of Oracle database solutions
• Ensuring compliance with best practices in PL/SQL development and implementing standards for code quality and data integrity
• Close collaboration with backend and frontend teams to ensure smooth integration between the Oracle database, C#-based APIs, and Azure cloud services