Data Governance Experts in Frankfurt

Participation in the EU-funded MORANE-2 project to validate the Future Railway Mobile Communication System (FRMCS) in real-life use cases: creation of the requirement specifications for TOBA as well as the associated test specifications.

Technologies: 5GS (Radio & Core), FRMCS, MCx (MCPTT, MCData, MCVideo), MC Gateway UE, MCx Priority/Security/QoS Management, ETCS, SIP, IMS

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.

• Process Owner SAP ERP 8 FI, CO & Investor Relations
• Process Owner SAP Success Factors
• Responsible for 4 teams, 39 FTE
• Full responsibility for end-to-end processes in SAP for Finance, Controlling, HR, Investor Relations
• Interface to certified public accountants for Finance IT (KPMG)
• ITIL-4 implementation for service request change request and project management with Service Now (Project Manager)

• Analysis of the existing reporting platform including processes and governance topics with stakeholders from sales and marketing.

• Detailed analysis and evaluation of client-defined requirements for existing reporting and new dashboards.

• Supporting stakeholders in managing sales processes and early detection of KPI trends.

• Use of Microsoft Power BI as central analysis and reporting platform.

• Developing a proposal for the necessary evolution of processes and the Power BI platform.

• Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.

• Analysis and inventory of the client's Power BI platform.

• Analysis of processes and data governance.

• Recording and documenting current business processes.

• Developing recommendations for process and reporting platform improvements.

• Designing and implementing dashboards in Power BI.

• Defining company-wide KPIs and aligning them with stakeholders.

• Microsoft Power BI.

• Data analytics.

• KPI definition and reporting.

• Dashboard design and data visualization.

• Stakeholder management and requirements management.

• Management and optimization of a portfolio of about 100 projects (launches, in-field solutions, data & analytics, digital solutions, digital products)
• Optimization of the existing project standard (playbook) and alignment with the European and global organization (USA)
• Coaching project managers on setup, planning, cooperation with business, GDPR, GxP, data security and launches
• Preparing projects for works council information and project closeout communication
• Optimization of resource management (tracking, allocation, prioritization)
• Taking over individual project leads (off-/transboarding, event management, checking whether WhatsApp is allowed on a business smartphone)
• Supporting the hiring of external project managers
• Optimization of meeting structure, project controlling (KPIs), change and demand management
• Optimization of risk, issue, dependency and quality management and support during internal audits (GxP)
• Optimization of the portfolio steering tool (Smartsheet) on national, European and global level
• Design and implementation of a Business Value Complexity Scoring
• Building a strategic PMO with a sister department and optimizing cross-functional teams
• Reporting, communication and escalation at management level
• Leadership coaching for several future leaders (short-time assignment)
• Development of the concepts "PPM as a Service" and "Internal Customer Approach"
• Development and review of a concept "AI Data Governance" including roles and processes
• Selection and onboarding of the successor

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.

• Design an interactive Tableau dashboard to analyze historical aviation accidents using data from the Federal Bureau of Aircraft Accident Investigation
• Develop visualizations to provide actionable insights to improve aviation safety measures employing data modeling and transformation techniques
• Develop a Power BI dashboard to monitor sales KPIs and product performance integrating data from multiple sources
• Design a star schema data model and implement advanced DAX measures for high-performance and dynamic reporting
• Design a comprehensive BI architecture solution focusing on ETL pipelines, data integration, and data governance
• Recommend Power BI as the central tool and create a security-compliant implementation roadmap

• Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
• Independently designing analytics solutions with Python, SQL, etc.
• Designing and implementing ETLs and data pipelines
• Creating and maintaining APIs
• Independently applying CI/CD, testing, and version control
• Data modeling
• Model development and optimization
• Anomaly detection with AI
• Predictive analytics

Used technologies:

• Snowflake
• Fabric
• Azure Synapse Analytics
• Azure DataFactory
• Azure Data Lake
• Azure DevOps
• Databricks
• Spark
• CI/CD
• SQL Database
• Python
• Power Platform

• General CTO responsibilities (architectural design, operational setup, external runtime product evaluation, investor buy-in, regulatory compliance).
• Software development oversight (implementation on deep-dive-in) plus workflow design.
• Product co-ownership.
• Tech/tools/frameworks: proprietary software (Java, JavaScript), Kubernetes, Postgres, MiniIO, Ollama (internal), several xAI API (external), OpenTofu (Terraform), Keycloak, Kafka, Prometheus, ELK Stack, GitHub, GitHub Workflows, Argo CD, ISO 27001, BSI-ISM, EU AI Act.

• The project aimed to reduce the scope of the annual PCI DSS audit and increase security in credit card payments.
• Credit card payments were tokenized and data and business processes adjusted so that no personal data was used in the internal IT infrastructure.
• Tools: MS Office, Jira, Confluence, draw.io, Miro, Scrum.
• Designed the tokenization of credit card payments.
• Clarified necessary changes to the architecture and data model.
• Designed and implemented process changes in the call center.
• Prepared management documentation on project status, decisions required, risks and escalations.

• Presentation introducing generic AI and large language models
• Explanation of legal frameworks (EU AI Act, US CLOUD Act, GDPR)
• Systematic review of AI tools along the SDLC and holistic systems
• Comparison of on-prem LLMs vs. cloud-based, as well as change management and works council
• Facilitated the discussion and derived next steps for introducing AI development tools

• Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
• Data storage and ingestion layer with Amazon S3
• Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
• Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
• Processing of unstructured data including text, image and video
• Databricks workspace setup and administration
• Setting up a medallion architecture to ensure data quality
• Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
• Establishing MLOps using MLflow
• Introducing data governance and data lineage using Unity Catalog

• Senior consultant for Project Management Office & Governance
• Analyze and optimize existing process landscapes to identify bottlenecks and improvement opportunities
• Structure and further develop project processes to increase efficiency and ensure sustainable implementation
• Establish and operationalize project governance to ensure clear responsibilities and control mechanisms
• Build tracking and controlling structures to make processes measurable and manageable
• Harmonize interfaces and process flows to reduce coordination efforts and maximize efficiency
• Manage stakeholders and communications to ensure consistent, process-oriented collaboration
• Facilitate meetings/workshops
• Tools: MS Project, MS Office, MS SharePoint, MS Visio
• Skills: Analysis, Process Management, Governance, Tracking, Controlling, Stakeholder Management, Communication Control, Facilitation, Process Optimization

• Coordinating requirements (collecting documents, quality assurance)
• Coordinating IT process landscape meetings
• Managing the release process for new/updated sfO
• Handling updates to the process map
• Checking sfO documents for methodological compliance