GDPR Expert in Berlin

• 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.

Support for Transformation Projects:

• Expert CTO advisory and enterprise architecture consulting for several short-term transformation projects, ensuring measurable improvements in project outcomes and technical business alignment.
• Supporting strategic IT initiatives for diverse clients, driving digital transformation and optimizing technology operations to increase business value and operational efficiency.

• Opt-in RAG extension over tenant-owned data sources (SharePoint, Confluence) on existing multi-tenant enterprise AI platform
• Architecture: ADRs, solution evaluations, permission strategy, cost modeling
• End-to-end SharePoint and Confluence connectors: OAuth consent flows, token refresh, metadata sync, search integration
• Permission resolution: ACL indexing at ingestion and query-time verification (document-level security)
• Elasticsearch hybrid search (semantic + keyword) with RRF scoring
• RAG chat with context injection and source citations
• Stack: Elastic Cloud, Elasticsearch, Docker, Northflank, Next.js, React, TypeScript, Prisma, Microsoft Graph API, Atlassian REST API, OAuth 2.0

• Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
• Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
• Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
• Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.

CRM and revenue platform managing billing and subscription workflows.

• Scaled payments infrastructure across data products, direct debit expansion and automated abuse prevention, generating $416K in annualized operational savings ($8K/week) by eliminating redundant gateway calls.
• Owned backlog and sprint execution for autonomous checkout abuse detection pipelines, designing real-time risk guardrails and velocity heuristics that blocked card testing attacks.
• Architected enterprise billing migrator user stories and data reconciliation mechanisms, achieving zero-downtime subscription state transitions and cutting $60K in infrastructure overhead.
• Expanded European direct debit (SEPA) payment capabilities, managing cross-squad API dependencies and automated webhook error-handling to eliminate checkout friction.

• AI adoption project in the field of public administration
• Development of a multi-stage format for introducing AI: keynote, workshops for employees and managers, deep dives on IT and legal topics
• Coordination and content alignment with external subject-matter experts (IT + legal)
• Focus on sustainable use in everyday work instead of a one-time training session

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.

• Led marketing and corporate communications team (8 FTE) with budget and team responsibility to 250+ clinic customers and 150K patients, managing all aspects of marketing, brand messaging and public relations
• Led development of multi-channel demand gen and partner marketing with Sales and CSM (LinkedIn, webinars, email, field marketing, medical briefings in orthopedics, neurology, long-covid, oncology), achieving +180% leads, +120% webinar signups, +35% MQL conversion
• Architected new PLG/app marketing playbook with Product and Data to streamline and leverage product launches, achieving +150% 5-star app reviews from patients and +10 NPS
• Launched ingredient branding strategy, securing two major clinic chain partnerships and patient testimonials. Led proactive PR media and KOL campaigns (+20% sentiment)
• Introduced MarTech AI for marketing automation and campaign efficiency (SFDC, ActiveCampaign, Plausible, Figma), aligned with Legal on GDPR, PDSG, ISO:27001 compliance

• Evaluated LLM-generated legal analyses against primary legal sources, identifying issues in legal reasoning, source support, and interpretation.
• Drafted and quality-checked legal content for contract and compliance workflows, translating complex legal issues into clear, business-ready outputs.
• Provided structured expert feedback on AI-generated legal work to improve source grounding, risk identification, consistency, and drafting quality.

• Designing UX for a B2B AI SaaS platform covering the full software development lifecycle, including an orchestration transparency panel showing users which AI model is active at each stage, reducing AI opacity and building user trust in multi-model workflows.

Product ownership for the new bonus component: a fully digital rewards program in the customer app, going live on 1.1.2027.

• Translated requirements from the business team, app team, and development into epics and stories, and managed delivery
• Designed interfaces between the app, Python backend, and health insurance systems (mkk API, 21c, d.3)

• Leading innovation strategy and the establishment of an AI-native Production System at DIGITALSINN, a content and experience production company.
• Responsibility for innovation direction, AI integration strategy, and production platform architecture
• Establishing a fully AI-driven Production System to transform content operations for brand and agency clients
• Building the strategic positioning of DIGITALSINN as a Production System partner within the DACH market
• Client advisory on AI-native operating models, content automation, and scalable production infrastructure

• Azure Landing Zone architecture: Design and implement a hub-spoke, multi-region-capable Azure landing zone that provides the secure, scalable and highly available foundation for autonomous driving and parking data/ML platforms.
• Compliance through Azure Policy: Enforce security and compliance standards across Azure subscriptions via Azure Policy (guardrails, deny/audit/deploy-if-not-exists), consistently achieving top-tier infrastructure security scores.
• Infrastructure-as-Code: Automate provisioning and configuration of Azure resources with Terraform and Bicep, with changes delivered through reviewed CI/CD pipelines.
• Azure Databricks and Unity Catalog: Extensive experience operating Azure Databricks with Unity Catalog for centralized data governance, access control, lineage and auditing across workspaces.
• Monitoring and observability: Built and run infrastructure monitoring and logging with Azure Monitor, Prometheus, Grafana and Loki, covering platform health, alerting, troubleshooting and capacity trends.
• Platform at scale: Architected and operate cloud data/ML platforms supporting multi-PB vehicle data ingestion and simulation; orchestrate Argo Workflow-based recompute and autolabeling services scaling to 100k+ concurrent pods on AKS.
• Reproducible ML: Established reproducible training environments with dataset versioning and provenance tracking, enabling auditing and experiment reliability.
• Operational excellence: Automated GitHub organization management and CI/CD pipelines, improving developer productivity and deployment reliability; automated recurring operational processes.
• FinOps: Developed transparent resource utilization and cost-tracking for multi-project Azure environments.
• Leadership: Technical lead for infrastructure topics, collaborating with development, DevOps and security teams; technical interviewer and recruitment panel member for scaling the engineering team.

• Reviewed contracts and legal documents, identified risks, and translated complex questions into clear recommendations for non-lawyers.
• Managed debt collection and supported in-house legal advice as well as court appointments.