Data Quality Experts in Cologne

Project: Introduction of statutory-compliant electronic invoicing (outbound, Germany) in SAP for an international technology group.

• Project management: Planning, steering and reporting of the E-Invoicing outbound rollout across all affected business areas, including budget and resource coordination.
• UAT: Structured user acceptance test with key users per business area, test cases per invoice scenario, and consolidated test results for decision making.
• Defect management: Handover and tracking of defects in Jira, including validation of the generated invoices against the statutory schemas.
• Cutover, go-live and hypercare: Readiness checks and cutover planning aligned with the statutory deadlines, coordination of go-live and stabilization during hypercare.
• Stakeholder management and reporting: Alignment with Finance, Tax, business departments and IT, preparation of status reports and decision papers, and consistent follow-up of open items.
• Change management and documentation: Communicated process changes to the business departments, enabled key users, and created process and compliance documentation to ensure traceability and audit readiness.

• Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
• Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
• Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
• Operationalization of the Data Governance Framework with definition of data standards
• Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
• Training and coaching the data team in migration, data quality, and data modeling

• Managed end-to-end data workflows for LCA and carbon footprint assessments, including data collection, validation, structuring, and LCI modeling for metal alloys, ensuring high data quality and traceability.
• Developed a basic Excel automation tool to simplify carbon footprint calculations of metal alloys, replacing repetitive modelling in the software that previously took several hours.
• Communicated environmental impact results through quantitative analysis, visualizations and reports to support the broader project strategy.
• Performed environmental hotspot and scenario analysis to identify key impact drivers and assess opportunities for emissions reduction.

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

• Intended break
• Lecturing at universities
• Mentoring
• Social engagement
• Coaching education
• Founding of research institute “Center For Impactful Organization Design (CIOD)”

• Analysis of business requirements
• Integration of different data sources such as ERP systems, production systems, and external data sources
• Implementation of load processes and processing logic with MSSQL
• Data modeling and optimization of data models
• Setting up data quality management incl. data profiling with dynamic programming
• Support in designing and establishing data governance, especially in the areas of data quality management and data protection
• Support in developing BI solutions with Tableau to help decision-making processes

• GA4 implementations, audits & API integrations (incl. Consent Mode v2)
• A/B testing mastery
• Server-side tagging via stape.io or Google Cloud
• GTM architecture, debugging & dataLayer strategies
• Custom dashboards in Looker Studio, Excel & Google Sheets
• Event-level analysis with SQL & automation via Python
• Conversion tracking with tools like trbo and advanced A/B testing
• Microsoft Clarity for behavioral analysis
• Strategic consulting on tracking, reporting & attribution frameworks

• Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
• Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
• Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
• Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
• Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
• Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
• Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
• Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
• Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.

• Developed a real-time video analytics proof-of-concept for deployment on NVIDIA Jetson edge devices.
• Implemented DeepStream pipelines including object detection, tracking, human pose estimation, face anonymization, and zone intrusion detection.
• Built a Qt/Python demonstration UI interfacing with the AI pipeline via REST APIs.

B2B pumps for chemicals, life sciences, semiconductors etc. Stabilization and optimization of the finance function, closing / budgeting / reporting / audits / SOX / PMI

• 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.

• 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.

Focus:

Consulting in reporting and project management for Power BI

Goal:

Creation of IT application dashboards for business areas

Activities:

• Technical consulting and support in managing and coordinating an existing reporting setup
• Structured collection, analysis, and preparation of business reporting requirements
• Technical coordination with defined internal contacts
• Design and optimization of Power BI reports to improve data analysis
• Development of concepts and recommendations for the further development of an efficient and transparent reporting system
• Support in the user-friendly visualization of relevant company KPIs as a basis for decision-making

Tools/Skills: MS-PowerBI, DAX, MS-Office 365, PowerQuery M, BCS

• End-to-end implementations of Marketing Cloud Next (Growth/Advanced), from discovery workshop to go-live — Data 360 (Data Cloud) setup, data streams and mapping, identity resolution rules (match & reconciliation), consent management, Sales Cloud integration.
• Campaign orchestration across the MCN flow types — segment-, event-(forms & engagement), schedule- and record-triggered flows (Salesforce & Data Cloud) plus API-based on-demand sends; segmentation and activation with Data Graphs, Calculated Insights, and Einstein personalization.
• Multilingual email template systems with dynamic, personalized content; deliverability (SPF/DKIM/DMARC) and GDPR-compliant double opt-in journeys.
• Operational support for Marketing Cloud Next orgs in ongoing consulting projects — campaign operations, data quality, performance analysis, and release readiness: campaigns deliver on schedule, credit costs stay predictable.
• At the same time, Account Engagement (Pardot) client projects — audits, implementations, lead scoring & grading; AE-MCN migration assessments; Agentforce grounding and guardrails.