Tableau Experts in Cologne

• 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.

• Developed data-driven performance strategies and managed cross-functional agency teams.
• Led KPI forecasting, budgeting, and implemented scalable creative solutions.
• Linked creative insights with analytics to increase marketing efficiency.
• Developed inspiring campaigns based on brand strategy and data-driven insights.
• Performed budget planning, forecasting, and full KPI accountability.
• Led and executed an agency pitch for performance marketing.

• Design and implementation of a concept for assessing physical climate risks and mapping risks under the Supply Chain Act (LkSG)
• Effective communication

Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.

• Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
• Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
• Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.

Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI

• 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

• Implementation of analytics and automation solutions for the Anti Financial Crime business unit
• Providing the infrastructure, including reusable data models and feature ingestion for production ML and rule based models in the areas of Account Take-Over and Card fraud detection, as well as Customer Risk Assessment
• Tools used: Snowflake, dbt, Looker, AWS, Python, Airflow, Metaflow

• Further training to become a certified AI expert in the company
• Fundamentals of AI
• AI tools
• Prompt engineering (creation of professional prompts)
• (Advanced) Process automation with AI and make.com
• AI in marketing and sales
• Legally compliant use of AI in companies
• Intelligent knowledge management
• AI in customer management
• Developing AI guidelines for the company
• AI integration into the company

• Conducted GCP/GLP audits, compiled quality metrics, supported inspection and documentation for regulatory submissions
• Collaborated with clinical, technical, regulatory, study execution, and management teams
• Reviewed systems and processes in preparation for EU and global regulatory filings
• Edited quality and regulatory documents for internal and external review

• Developed and enhanced ETL loading jobs with IBM DataStage and optimized SQL in an IBM DB2 environment as part of the Agree21 data migration
• Analyzed data quality and developed test procedures
• Created PowerShell scripts and documented GIT deployment processes
• Technologies: RedHat Linux, IBM DB2 with DBVisualizer, IBM InfoSphere DataStage 11.7, JIRA, TortoiseGIT, TortoiseSVN, PowerShell scripts

• Implementation of custom reporting solutions for financial KPIs aligned with specific business requirements

• Development of a machine learning application that achieved a 250% performance improvement

• Data Architect "Production-Oriented Quality Assurance" (03/2024–09/2024):

• Design and implementation of an analytics platform to detect quality deviations in manufacturing

• Build of a scalable data lakehouse architecture on Databricks in combination with SAP ERP data via SAP Datasphere

• Close collaboration with the SAP team to harmonize bill of materials and order data

• Visualization of KPIs to support shopfloor management

• Lead Data Engineer "Sales Performance Monitoring" (08/2023–12/2023):

• Design and implementation of a Databricks-based platform for analyzing sales figures and promotion effects

• Integration of SAP SD data via SAP BW/4HANA

• Use of Azure DevOps to orchestrate ETL jobs and deploy workflows

• Technical Project Lead "Cloud Migration & Data Strategy" (02/2023–05/2023):

• Migration of a heterogeneous data warehouse stack to a modern cloud architecture on Azure with Databricks as the central processing platform

• Development of a governance-compliant data architecture to integrate SAP financial data and non-SAP sources

Technologies: Databricks, Delta Lake, Python, SAP Datasphere, Azure DevOps, PowerBI, SQL

• Supported the seamless migration of an existing ServiceNow application to a new environment.
• Created detailed user stories as the basis for acceptance and test execution.
• Ensured that all requirements were met and the functionality of the new application was confirmed through this structured approach.
• Collaborated with stakeholders to ensure smooth project execution and involve all relevant parties in the migration process.

• Project management in agile environments for eGovernment and Smart City projects
• Building knowledge on generative AI (Gen AI) for various existing clients and business development of Gen AI use cases
• Managing director responsibilities

• Acted as the primary bridge between Legal, Engineering, and Business units to ensure zero compliance violations while maintaining product velocity.

• Led the development of a GDPR-compliant AI aggregator platform, managing a roadmap that balances legal constraints with aggressive feature delivery.

• Scaled the engineering team from 4 to 9 developers, establishing hiring protocols and technical onboarding processes to support rapid product iteration.

• Boosted the development process by introducing structured sprint cycles and backlog refinement, resulting in a 20% reduction in feature delivery time.

• Architected and prototyped agentic AI workflows with n8n and RAG pipelines on Langchain.

• Technical project management, requirements management, and design to guide the data team in developing a predictive maintenance model for DB InfraGO's maintenance planning.
• Statistical modeling and analysis programming with R Studio for fault analysis in preventive maintenance: multivariate modeling using quasi-Poisson, negative binomial, lasso, offset, splines, RandomForest.
• Implementation of various R Shiny dashboards.
• Sparring partner and requirements management for data engineering, data modeling, and ETL pipeline in Tableau Prep.