Data Quality Experts in Germany

• Launched a new digital product in the Chinese market as part of a global growth strategy.

• Served as the link and coordinating interface between central product management, local Chinese teams and international stakeholders.

• Managed the overall program to coordinate complex digital projects.

• Successfully launched a digital product in China (including successful certification for the Chinese market).

• Balanced local requirements with global priorities while taking tax and regulatory requirements into account.

• Introduced a new way of working to improve collaboration and coordination across locations.

• Developed and implemented a scaling strategy for the digital business model in China.

• Used Jira, Confluence, Miro, Scrum, Agile ways of working, SAFe.

• Project language: English.

Agile Transformation: introducing agile principles and transforming traditional IT departments into Scrum and Kanban teams

IT Operating Model: redesigning the IT organization and introducing modern delivery structures and roles

Flight Levels: building up Flight Levels practices within IT to align strategy, coordination and operational execution

Leadership & Coaching: recruiting Agile Coaches and coaching Scrum Masters and IT leaders

ERP Operations: acting as Interim Product Owner for the existing ERP landscape and ensuring business continuity

ERP Transformation: reorganizing and supporting the ERP migration as a Project Manager; Phase 1 (financial accounting) live since October 2025

Operational Core (ERP): establishing dedicated teams for ERP Support, Feature Development, and ERP Migration

Modern Workplace: initiating the transition towards a Microsoft 365-based cloud workplace environment

Integration: establishing a dedicated team to drive integration and connectivity initiatives

Warehouse Operations: building a cross-functional team to support logistics and warehouse-related capabilities

Maintenance & Operations (M&O): introducing a dedicated team for system engineering, security, stable operations and continuous improvement

AI Initiatives: identifying and promoting practical Artificial Intelligence use cases across the IT department

As Interim Head of IT for a German medium-sized industrial distributor, I am responsible for 31 IT employees and lead the digital and organizational transformation, reporting directly to executive leadership. I took over an IT department with almost no basic structures – no clear roles, processes, documentation or ticket system – and with significant technical debt that tied up most of its capacity. Introduced agile principles and ways of working in the IT organization and transformed the traditionally structured IT department into cross-functional Scrum and Kanban teams focused on transparency, collaboration, and customer value delivery.

Redesigned the entire IT organization by establishing a modern operating model, introducing new roles such as Product Owner, Scrum Master and Solution Architect and strengthening the organization through strategic hiring and targeted capability development. Recruited and onboarded Agile Coaches to accelerate the transformation and personally managed and coached Scrum Masters as well as IT department leaders to foster servant leadership, self-management and a culture of continuous improvement.

Aligned IT-internal planning across eight teams to three Flight Levels based on Klaus Leopold (strategy, coordination, team), laying the foundation for later company-wide portfolio management. Consolidated the backlog of more than 10 workstreams and prioritized it by business value and cost of delay. Introduced a ticketing system to increase transparency and enable data-driven decision-making, flow-based work management, and greater accountability at all levels.

Established and supported multiple cross-functional teams, including the Operational Core (ERP) domain with dedicated streams for Support, Feature Development and ERP Migration, as well as teams responsible for Warehouse Operations, Maintenance & Operations (M&O) including system engineering and security, Modern Workplace, Data Quality and integration initiatives. Worked closely with Agile Coaches to support team development, remove impediments, and continuously improve delivery effectiveness.

Acted as Interim Product Owner for the operation and enhancement of the existing ERP landscape while supporting the ERP migration as a Project Manager. Reorganized the project organization and had the already negotiated contract with the implementation partner realigned with a focus on approach and overall responsibility; Phase 1 (financial accounting) has been live since October 2025. Collaborated with the selected implementation partner to design and establish the project organization and target operating model for the ERP transformation, introducing agile delivery structures and ways of working. Facilitated the alignment between business, IT and the external vendor and played a key role in negotiating the contractual framework and delivery model to ensure a sustainable foundation for the transformation program.

Initiated the strategic modernization of the workplace environment through the adoption of Microsoft 365 cloud capabilities, establishing the foundation for enhanced collaboration, scalability and future digital services.

Launched AI initiatives to identify practical business use cases and promote the responsible adoption of Artificial Intelligence across the IT department. Encouraged self-management and empowered teams to take ownership of decisions, delivery and continuous improvement.

Working Environment

• Insurance / Claims Management (Property, Liability, Automotive)
• REST-based ClaimAPI with Guidewire ClaimCenter

Scope

• Further development of the internal REST-based ClaimAPI with Guidewire ClaimCenter as the backend and various portals/front-end offices as clients, and with the following objectives: + increased AI-supported claims processing outside of Guidewire ClaimCenter + and support for all lines (property, liability, automotive).
• Further development of automated claims processing

Activities

• Interfacing IT & Business
• Design activities with documentation in Confluence, Jira: + Requirements engineering (functional and non-functional) + Design of REST endpoints and coordination with interface partners (esp. AI-colleagues) + Identification, design and evaluation of alternative solutions (moving away from a monolithic approach toward fine-grained endpoints, with code reuse across all lines if possible) + Creation / refinement of product backlog items in Jira, i.e. epics, user stories and tasks, incl. alignment with developers & POs during (pre-)refinement sessions + Using AXA Secure GPT when creating / refining user stories (description, acceptance criteria) and designing REST endpoints + Estimation and prioritization of user stories and tasks during Sprint Planning sessions + Coordination and support during the implementation of Product Backlog items + Driving decision making with preparation and presentation of decision-making documents
• Quality assurance: + Test management, including test case creation using Xray in Jira + Test execution using Bruno as REST client and in Guidewire ClaimCenter + Submission of test artifacts for PO approval + Analysis of production bugs

Methods Big Room Planning (aka PI-Planning in SAFe), Scrum, BPMN, EPK, UML, ERM, DDD

Tools / Tech Stack Teams, Confluence, Jira with Xray, OpenAPI/Swagger, REST, JSON, XML, MS Office, Bruno, GitHub repository (reading), Guidewire ClaimCenter, AXA Secure GPT (AXA's in-house GenAI solution based on Azure OpenAI)

• Designed and developed a production-ready data platform based on Microsoft Fabric for an e-commerce company
• Built a scalable Medallion Architecture (Bronze, Silver, Gold) with Lakehouse and Delta Lake as the foundation for analytics and AI applications
• Developed a metadata-driven ETL platform with PySpark and a generic Incremental Loading Framework (SQL Server → Bronze → Silver → Gold)
• Developed reusable components for Microsoft Fabric Notebooks to standardize data integration, transformation, and validation
• Implemented automated data pipelines including monitoring, logging, error handling, and Delta MERGE strategies for stable production operations
• Built a business layer architecture for reporting, data warehousing, and reusable data products
• Integrated heterogeneous data sources via SQL Server, REST APIs, Amazon SP API, and Google Analytics 4
• Worked closely with business departments to analyze business requirements and translate them into scalable data architectures

Technologies: Microsoft Fabric, PySpark, Python, SQL Server, Delta Lake, Lakehouse, OneLake, Data Factory, Data Warehouse, REST APIs, Amazon SP-API, Google Analytics 4

Developed the product vision and outcome strategy for a new registry platform, designed a management workshop for strategic alignment, conducted BPMN process mapping across systems and roles, analyzed user story practices and further developed them on an outcome basis, and brought together stakeholders from business departments, management and the external development partner.

Skills: Product Strategy, Outcome Roadmapping, Stakeholder Workshops, BPMN/Process Analysis, Miro, Linear

Advising various companies in the areas of controlling, finance and planning, transformation, business partnering, management reporting and AI-driven forecasting systems

Further Development of the Integrated Capacity Management Platform InKa

Rail Infrastructure

• Power BI shared datasets and reports via DirectQuery on Amazon Redshift (timetable, construction and capacity data)
• Automated report testing with Playwright in Docker containers, version control with GitLab
• Concept and implementation of user communication (information page, changelog, known bugs)

Initial Situation:

The integrated capacity management platform (InKa) is a monitoring and analysis platform for data from timetable and capacity management: customer orders, infrastructure, timetable operations, construction, as well as route capacity and width. The data is stored and linked in a structured data warehouse. This makes it possible to create complex KPIs across different source systems and display current and future route utilization as well as construction activity across the network. The goal is to improve strategic, medium-term and intra-year planning and provide users with easy access to capacity management analyses.

Measures:

• Enablement: Introduction of Power BI with training and workshops for development teams.
• Consulting & Design: Problem analysis, concepts and solution consulting for reporting requirements; implementation of reporting solution plans.
• Data Model: Development of shared datasets with DirectQuery on Amazon Redshift and import tables; DAX measures for utilization and capacity KPIs.
• Development: Data analysis, data transformation and visualization in Power BI; extension and migration of business applications to Power BI; AI-supported development in VS Code with GitHub Copilot.
• Test Automation: Automated testing of Power BI reports with Playwright; setup of the test environment in Docker containers.
• User Communication: Concept and implementation of a central information page with hot news, changelog and known bugs, access from reports with report filters, updates via Power Automate.
• Deployment: Management of Power BI Deployment Pipelines across the DEV, TEST and PROD environments.
• Agile Working: Work in an agile team according to SAFe (Scaled Agile Framework); refinement of user stories and features including effort estimates in Jira; version control with Git and GitLab.
• Quality & Documentation: Reviews for quality assurance, error analysis and resolution, technical documentation in AsciiDoc and Confluence.

Technologies: Power BI, DAX, Power Query, DirectQuery, Amazon Redshift, Git / GitLab, Deployment Pipelines, Playwright, Docker, AsciiDoc, Power Automate, Jira, Confluence, VS Code with GitHub Copilot, SAFe

Results:

• Capacity management KPIs from multiple source systems combined on one platform
• Transparency regarding current and future route utilization and construction activity across the network
• Easy access to analyses for users
• Automated regression testing of Power BI reports
• User communication implemented: central information page with hot news, changelog and known bugs, directly accessible from the reports

• Developed a market entry strategy for the claims division of an insurance services provider.
• Analyzed and optimized existing claims processes.
• Defined management metrics and KPIs to improve performance and efficiency.
• Advised management on market positioning and process digitalization.
• Led an IT team of 13 employees as part of an interim vacancy cover.
• Ensured stable IT operations and managed external IT service providers.
• Led regulatory projects, particularly the implementation of the DORA regulation.
• Prepared and supported an IT security audit.
• Change management and conflict moderation in a challenging transformation environment (FI migration).

• Managed the integrated SAP S/4HANA delivery plan for 12 BTS workstreams, including milestone, dependency, and governance management.
• Coordinated end-to-end delivery across Business, IT, and Operations, focusing on execution, readiness, and issue resolution.
• Responsible for RAID, test, cutover, and deployment management to ensure a successful go-live.
• Implemented KPI tracking, status reporting, and PMO governance to provide transparent management of performance, risks, and escalations.

• Optimized the data architecture (Medallion) to better decouple processing steps and improve transparency and reproducibility

• Ensured the technical quality of data processing in Databricks by introducing schema enforcement, data quality checks, and a structured data architecture

• Pipeline orchestration with Azure Data Factory

• Improved and automated the development and deployment process by integrating Git and GitHub Actions

• Technical leadership of the Data Engineering team (3 employees)

• Led workshops to optimize and stabilize the data platform and development process

• Collected and prioritized new requests and maintained the product backlog

• Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS Sharepoint, Mural

Assignment focus: Leading digital restructuring in a highly regulated Defence and Aerospace environment. Focus areas: improving data flows and data quality, introducing paperless data collection in production, integrating machine data for automatic SPC calculation and process control, as well as cybersecurity analyses.

Main objectives:

• Analyze, structure and improve data flows and data quality in production
• Introduce paperless data collection in manufacturing areas
• Integrate machine data for automatic SPC data calculation and process control
• Implement digital restructuring while meeting regulatory requirements in the Defence environment

Measures and results:

• Analyzed and structured existing production data flows as a basis for control and reporting
• Established mechanisms to ensure data quality and availability across manufacturing areas
• Introduced paperless data collection in production — replacing manual and paper-based processes
• Integrated machine data for automatic SPC data calculation (control charts, Cp/Cpk) and real-time process control
• Conducted cybersecurity analyses in the production and IT environments

Area of responsibility: Project management for digital restructuring, paperless production, data management and data quality in a highly regulated Defence and Aerospace environment.

European business consultancy helping consumer goods and FMCG companies unlock untapped potential, define winning strategies, and execute with precision and measurable impact.

• Analyzing business challenges with ~20% effort to drive ~80% output, ensuring clear priorities, structures and actionable recommendations that deliver rapid, measurable results.
• Driving holistic Operations and business transformation, cost efficiency, customer focus, go-to-market strategy and KPI-driven performance.
• Acting as a trusted C-Level advisor and sparring partner to turn strategy into measurable results; helping CEOs, founders and leadership teams in businesses of all sizes to strengthen growth and profitability.

I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.

I delivered following projects and engagements as a freelancer.

• Data Migration of CRM System for AL-FA Objekt Service Gmbh
• Microsoft Software Resales Partnership

I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer

Technical Focus Areas

• Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
• DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
• Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
• MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
• Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.

• Architected an enterprise Fabric-based data-product governance framework, authoring data contracts and schema-validation KPIs to enforce completeness, freshness and SLA standards across reporting data products.
• Operationalized pipeline observability by integrating Dagster orchestration data into automated data-health reporting, proactively validating data integrity and pipeline reliability before production reporting layers refresh.
• Established BI-as-Code and end-to-end governance through Git-based version control, CI/CD and Alpha→GA release management, strengthening lineage, schema-drift detection and production change traceability.