DAX Experts in Berlin

• Leading end-to-end UX for two AI SaaS products in closed beta, including LLM-interaction design, prompt-UX, and human-in-the-loop patterns with commercial distribution signed for launch in Q3 2026
• Built a self-built LLM reframing and RAG-correction pipeline powering multi-profile CV and case-study generation in production use
• Shipping real code alongside research, including Three.js/GLSL portfolio work, Figma-API tooling, and a Chrome MV3 extension for session-sync automation

Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.

• Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
• Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
• Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
• Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
• BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.

• Head of Content at First Avenue, South Tyrol's market leader in out-of-home and digital advertising (1,500+ ad spaces, 13 platforms including STOL and Südtirol News)
• Running marketing and communications for a company that sells attention for a living
• Built AI into daily practice, not pilot projects: content production, campaign workflows, positioning

Tasks: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.

Activities:

• Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
• Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
• Developed automated data pipelines with Python, dbt, and GCP services for different data sources
• Built monitoring and alerting systems for real-time platform monitoring
• Implemented data versioning and quality checks at every layer
• Designed automated test and deployment pipelines in GitLab and Bitbucket

Achievements:

• 2× production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
• Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, configuration errors to 0
• Delivered a complete end-to-end data platform at ~€10/month infrastructure cost
• Migrated 7 database tables with 0 downstream issues
• Removed 100% exposed credentials, eliminated external vendor dependency
• Delivered integration of 3 teams in 1 sprint

• Designed and implemented scalable ETL/ELT pipelines using Python, SQL, dbt, AWS and Informatica to ingest data from sources such as APIs, relational databases, and flat files into Snowflake, reducing pipeline runtime by ~30%.
• Migrated high-volume datasets from on-premises Teradata to Snowflake using AWS services (S3, Glue, Step Functions, IAM), ensuring data consistency and integrity.
• Applied Kimball methodology to design star and snowflake schemas, improving query performance and reducing Snowflake compute costs.
• Implemented automated data quality checks using SQL-based dbt tests and the Great Expectations framework to detect anomalies and enforce data correctness before production loads.
• Orchestrated ETL workflows in Airflow using Python and managed code deployments via Git with CI/CD best practices to increase deployment reliability and maintain pipeline uptime.
• Built interactive Power BI dashboards and curated datasets to enable data-driven decision-making for stakeholders.
• Maintained technical documentation in Confluence for ETL workflows, and led knowledge-sharing sessions for new joiners.

• Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
• Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
• Orchestrated pipelines with Azure Data Factory
• Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
• Led the Data Engineering team (3 members) in a functional role
• Conducted workshops to optimize and stabilize the data platform and the development process
• Collected and prioritized new requests, 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

• Interim Product Owner for two new applications as part of the introduction of a new bonus points program within the entire Rewe Group
• Coordination of cross-team planning (initiative management) and implementation
• Responsibility for product vision, roadmap, backlog and stakeholder management within an agile scaled product development team
• Successful Go Live with both applications on 2024-09-24

• Responsible for operational sales scaling in Central Europe and establishing the sales organisation and go-to-market strategy in Scandinavia, particularly Sweden and Norway.
• Establishing strategic partnerships and indirect sales channels alongside direct sales.
• Management of the second and third levels of leadership, control of over 90% of sales and interim management of international sales, with a focus on France, the UK and the USA.
• Expansion and professionalisation of sales operations and sales analytics.
• Significant increase in company revenue of more than 1100% since joining the company.
• Establishment of strategic partnerships and indirect sales channels in Scandinavia (including with Apple and TechStep).
• Implementation of two sales software solutions to improve forecasting and intent.
• Redesign and optimisation of cross-functional sales processes to shorten the sales cycle and increase efficiency in other departments.

• Acting as interim manager and fractional CMO in Berlin

• Moderation of AI use case workshops for the data and AI strategy consultancy DAIN STUDIOS
• Moderation of an AI and Prompting training for the smart data and AI strategy consultancy DAIN STUDIOS
• Moderation of an AI and Prompting training for the AI consultancy Form21

• Data / product analysis & visualisation in Tableau Desktop
• Stakeholder Management

• Consulting and advisory services for the AI space on product management, strategy, AI models, AI infrastructure
• AI Product Lead for Ringier AG:
• BliKI chatbot for Blick.ch - live, tens of thousands of users
• AI Forge journalist tooling for Blick.ch - live, hundreds of internal users
• Floorian automated ad floor price optimization system - pilot ongoing
• Freelance CTO for an AI-as-a-Service company focusing on automated trading solutions
• AI Agent calls people on the phone at scale, converses to achieve specific goals, and takes action based on how the conversation
• AI Trading bot based on transformer time-series model forecasting future asset prices

• As a Data Specialist, I leveraged analytical expertise to transform raw data into actionable insights, driving strategic decision-making and operational improvements. My role encompassed data interpretation, reporting automation, and cross-functional collaboration, utilizing advanced tools such as Microsoft Excel, Power BI, and Python for comprehensive data analysis.
• Implemented Python scripts to validate and reconcile large datasets, reducing manual errors and improving data reliability.
• Utilized Python (Pandas, NumPy, Matplotlib/Seaborn) to automate data cleaning, analysis, and visualization, improving efficiency and accuracy in reporting.
• Developed interactive dashboards in Power BI to present key metrics, trends, and performance indicators, facilitating real-time decision-making.
• Designed and executed automated reports using Excel (Pivot Tables, Power Query, VBA) and Power BI, ensuring data accuracy and consistency across departments.
• Data Analysis: Excel (Advanced Pivot Tables, Power Query), Power BI (DAX, Data Modeling), Python (Pandas, NumPy, Visualization Libraries)
• Automation & Reporting: Power BI Dashboards, Excel Macros (VBA), Python Scripting.