Data Quality Experts in Frankfurt

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.

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.

• Freelance consulting for startups, fintechs, SMEs, banks, financial service providers, and established companies on strategic, organizational, and technological topics; focus on analysis, structuring, execution readiness, and stakeholder communication.
• Gathering, structuring, and prioritizing business requirements; translating business goals into actionable IT, process, data, and documentation requirements.
• Designing and improving digital platforms, user journeys, portal structures, information architecture, and data-driven product/content structures; strong fit for customer portals, partner portals, and B2B2C application journeys.
• Analyzing user, reach, search, and platform data to derive product, content, and platform decisions; structuring decision bases for management and delivery teams.
• Using Jira, Confluence, Excel, analytics, and automation tools; working in agile and hybrid delivery environments.

• End-to-end responsibility for the successful implementation and continuous optimization of Mediatool for strategic media planning (offline & online).
• Development and management of efficient onboarding, configuration, and support processes for international stakeholder teams.
• Leadership of API integrations to connect external systems (e.g., for result tracking and performance measurement).
• Advising departments on tool usage and development, including workshop design, training, and knowledge transfer.
• Establishment and maintenance of comprehensive PMO tracking for all tasks, milestones, and deliverables.
• Prioritization and documentation of requirements, change requests, and bugs in Jira, with transparent communication via Confluence.
• Systematic evaluation of user feedback to derive data-driven optimization measures.
• Responsibility for the monthly Mediatool communication newsletter, including content creation for users and leadership.

• Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
• Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
• Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
• Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.

• Leading technical SAP projects in FI/CO and logistics.
• Advanced ABAP analysis, debugging, and validation of complex integrations.
• Optimization of financial and logistics processes in S/4HANA environments.
• Responsibility for demand management, workshops, and technical solution architecture.

• Led design, development, and deployment of data solutions supporting a major pharma acquisition for Takeda Pharmaceutical Company, delivering transparency reporting systems across Azure,Databricks (Python and Shell Scripting) platforms.
• Owned,Designed and developed scalable ELT pipelines to process Customer and Product data using Azure, complex SQL, Databricks, and shell scripting, enabling efficient data integration and processing across multiple sources including job orchestration and workflow automation.
• Implemented performance optimization techniques (query tuning, parallelism, workload optimization), improving system efficiency and processing time.
• Applied strong analytical and problem-solving skills to assess technical solutions and support business requirements for compliance and transparency reporting.
• Designed scalable data foundations suitable for downstream analytics and AI workloads.
• Led data quality initiatives by assessing multiple source data, defining quality metrics, and establishing processes for monitoring and continuous improvement.

• Analysis of web and campaign performance to derive actionable insights for marketing and growth optimization
• Implementation and maintenance of tag management solutions to ensure reliable and consistent data collection
• Continuous development and optimization of reporting structures with a focus on scalability and data quality
• Conducting regular deep-dive analyses and leading monthly stakeholder sessions to present findings and align on optimization measures
• Designing and managing end-to-end data flows from data collection to visualization
• Tools: GA4, Google Tag Manager, Looker Studio, Airbyte, BigQuery

• Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.

• Set the fundamental guidelines using the QA handbook

• Summarized test results in QA reports for PLA

• Analyzed project outcomes for improvement opportunities

• Quality management of requirements analysis (especially processes, methods and tools)

• Ensured compliance with SERA guidelines

• Created a cross-project test concept

• Agreed on sprint completion reports

• Conducted formal reviews of deliverables according to guidelines and/or project plan

• Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)

• Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes

• Configured and automated data extracts from Oracle databases, achieving 100% data accuracy in a critical migration project, significantly reducing manual errors and accelerating the migration timeline.

• Designed and implemented interfaces with Order Management Systems (OMS), enabling seamless and automated data exchange and improving operational efficiency through faster, error-free order processing across business units.

• Developed and deployed data extraction workflows to support regulatory compliance and customer reporting, ensuring timely delivery of key reports, reducing manual effort, and increasing customer satisfaction.

• 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.

• Involved in the full development lifecycle, including design, coding, testing, and deployment of Java-based applications.
• Built and maintained high-performance RESTful APIs and microservices, ensuring scalability and reliable data exchange.
• Practiced code reviews, used version control systems (e.g., Git), and collaborated closely with cross-functional teams to deliver robust software solutions.
• Implemented, managed, and optimized complex business logic and decision-making processes using the Drools Rules Engine, leveraging DRL (Drools Rule Language) for dynamic configuration.
• Developed software solutions for a major service provider in the healthcare insurance sector, specifically focusing on claims processing and reconciliation logic to ensure cost-effective reimbursement for health funds.