Customer Data Platform Experts in Germany

• Managed end-to-end data workflows for LCA and carbon footprint assessments, including data collection, validation, structuring, and LCI modeling for metal alloys, ensuring high data quality and traceability.
• Developed a basic Excel automation tool to simplify carbon footprint calculations of metal alloys, replacing repetitive modelling in the software that previously took several hours.
• Communicated environmental impact results through quantitative analysis, visualizations and reports to support the broader project strategy.
• Performed environmental hotspot and scenario analysis to identify key impact drivers and assess opportunities for emissions reduction.

• I help SMEs get VSME/VS-ready before their biggest customers come asking.
• Tailored SME Readiness Assessment and Implementation Road Map

• Concept & IT implementation of inbound B2C campaigns, BPM process documentation
• Cross-departmental implementation of multiple whitepapers / guides
• Setup of the customer journey with MS Dyn365 / CRM: forms, landing pages, campaigns
• Project controlling, process documentation, testing and training / coaching, analytics reports
• Hands-on implementation & on-time launch of all campaigns for digital new customer acquisition

agentic-engineer.online is my publicly testable live demo and at the same time the platform where I show my work. Originally created as a recruitment trial task, I have since continued to run it as my own demo, learning, and product project — on a Hetzner VPS behind a Cloudflare tunnel, through a multi-stage AI-orchestrated deploy pipeline with snapshot rollback. If a deploy step breaks, the system falls back to the last clean snapshot, the script is adjusted, the test repeated — empirical, test-driven, without hand tuning.

• Technically behind it: Python and FastAPI, an OpenRouter model cascade, SQLite persistence, and Cloudflare edge tuning.
• I am the developer and the strictest customer of my own AI work in one person — what started as a prototype has become a tool I use every day and against which I test my own products.

• Responsibilities:
• Collaborate with Product Owner to define functional and technical requirements
• Quarterly Roadmap definition with Executives and Product Owner
• Fix bug and develop new features in Go and Typescript
• Manage and mentor full stack engineering team
• System Design in a micro-service environment
• Guarantee application security
• Improve engineering efficiency and deliverable quality
• Support automation with agentic-AI workflow
• Achievements:
• Improved security and data privacy awareness in the team with workshops around best practices, security measures and attacks types
• Conceptualized, designed and successfully released a new real-time chat application for our partners improving partner/company relationship and collaboration efficiency in Go and Typescript
• Reduced meeting hours for engineers by restructuring projects preparation workflow in collaboration with product team

Re-platforming an e-commerce shop to a microservice architecture

• Goal: Replace an outdated Shopware system with a scalable, future-proof solution based on microservices and a headless architecture.
• Led a full architecture consulting process and defined the microservice boundaries based on a headless architecture with commercetools as PIM/OMS and Next.js as the frontend solution.
• Developed and integrated several decentralized services (e.g. internationalization, personalization).
• Took over the configuration of central third-party systems such as Contentstack and Algolia.
• Built a stable cloud infrastructure on Google Cloud with monitoring via Grafana.

Technologies: commercetools, Next.js, Contentstack, Algolia, Google Cloud, Grafana, TypeScript, Shopware

Development of an international e-commerce platform

• Goal: Build a high-performance, user-friendly and international e-commerce platform.
• Defined a scalable, high-performance and maintainable software architecture that served as the foundation for the platform's international expansion.
• Selected a best-of-breed technology stack that enabled the development of an industry-leading shop and reduced development effort for new features by 30%.
• Ensured seamless integration of critical third-party systems (PIM, CRM, ERP) to guarantee end-to-end business processes and a consistent data foundation.
• Implemented comprehensive tracking and analytics tools for continuous performance monitoring and optimization of the customer journey.

Technologies: React.js, Next.js, commerceTools, Algolia, Salesforce, Heroku, CI/CD, PHP, Google Analytics

AI-powered personalization and customer data platform in e-commerce

• Goal: Replace static content with a dynamic, AI-based personalization strategy to increase user relevance and automate marketing processes.
• Designed and built a customer data platform to aggregate and combine customer and analytics data from distributed sources.
• Implemented automated categorization of customer profiles as the basis for delivering personalized content and product recommendations in the Shopware frontend.
• Developed a semantic similarity algorithm based on Python and OpenAI to calculate product and content similarity from user profiles.
• Built the technical connection to retail media platforms to control external ad placements along the customer journey.

Technologies: Shopware 6, Python 3, OpenAI, Elasticsearch, PHP, Symfony, Twig

Shopware tracking & consent architecture (GDPR) for 4 online shops

• Goal: Build a unified, GDPR-compliant tracking infrastructure across multiple shops with central consent management across several Shopware instances.
• Defined a comprehensive tracking guide and developed a modular architecture compatible across multiple Shopware versions.
• GDPR-compliant integration of Usercentrics and Adobe Launch through a central tag manager.
• Full tracking setup (page, order, product, user) incl. partner-specific tracking (Emarsys, Channelpilot, etc.).
• Detailed event and error tracking to proactively identify technical drop-offs.

Technologies: Shopware, Adobe Analytics, Usercentrics, Tag Manager, PHP, MySQL, GDPR

AI/LLM search engine with RAG and hybrid search (Python, Elasticsearch)

• Goal: Build an AI-powered search engine with RAG architecture and hybrid search to accurately match service providers from over 500,000 company records.
• Developed an automated data pipeline (web scraping + LLM) that continuously crawls company data and converts it into structured formats using LLMs.
• Implemented a RAG workflow incl. vectorization for semantic search to increase search accuracy and relevance.
• Configured and fine-tuned Elasticsearch for hybrid search (vector + keyword search).
• End-to-end development of backend API, frontend and deployment on live servers.

Technologies: Python, FastAPI, Elasticsearch, LLM, RAG, React, Docker, Web Scraping

AI/computer vision system (Python, ML) – object detection under difficult conditions

• Goal: Develop an AI-powered recognition system with reliable performance even in rain, fog, snow and darkness.
• Built and annotated a large training dataset incl. difficult conditions.
• Trained a YOLO-based object detection model; carried out systematic error analysis and improved data quality and preprocessing.
• Coordinated with stakeholders through regular status updates.

Technologies: Python, Machine Learning, TensorFlow, PyTorch, YOLO, OpenCV

• Launched and leading a new venture in consulting & digital transformation.
• Supporting clients in transforming their organisations, scaling growth strategies, building digital operating models, and creating future proof organisations.

• Design and supervise implementation, testing and rollout of end-to-end processes and system integrations (frontend & backend)
• Integrate with OEMs (Daimler, BMW/MINI) and CPOs (Ionity and others)
• Introduce CPO discount packages with lifecycle processes
• Implement consenting process for GTC & tariff updates and marketing opt-ins via SAP Emarsys
• Automate blocking/unblocking of customers and integrate MS Dynamics CRM and proprietary 3rd level tool
• Coordinate migration and go-live of new fleet portal
• Migrate PSP from Datatrans to Adyen (credit card, PayPal) and integrate SEPA/BACS with Adyen via webhooks
• Support and enhance OpenInformer billing engine: Oracle→PostgreSQL migration, PostgreSQL upgrade, regression test suite, performance troubleshooting, invoice relocation to Azure Storage
• Identify and analyze fraud cases and implement countermeasures
• Provide problem management, incident support and hypercare after major rollouts

• Strategic rebuild and initial integration of the B2B CRM as the basis for a scalable and sustainably automated lead management process
• Building and optimizing CRM processes and CRM campaign management לאורך the entire customer lifecycle
• Developing, planning, and implementing lead generation strategies for trade fairs, roadshows, partner sites, and other relevant B2B touchpoints
• Designing and modeling differentiated customer journeys and workflows for different target groups, touchpoints, and phases of the customer lifecycle
• Designing first-touch and branding flows to systematically move new contacts into automated CRM journeys
• Building lead nurturing processes for automated qualification, activation, and further development of leads until they are ready for sales
• Designing and implementing marketing automations to reduce manual processes and scale the delivery of relevant content
• Developing and optimizing automated lifecycle campaigns based on user behavior, interactions, interests, and lead status
• Campaign management for email marketing and B2B communication, including editorial newsletters, trigger and automation emails, as well as ad hoc campaigns
• Responsibility for newsletter sign-ups as well as optimization of the underlying processes and consent journeys
• Consent management and optimization of opt-in processes as the basis for compliant and scalable CRM communication
• Planning and implementation of ad hoc campaigns including A/B testing as well as continuous optimization of content, sending logic, and conversion
• Analysis and evaluation of CRM performance and derivation of specific measures to increase engagement, lead quality, and conversion
• CRM strategy consulting and workflow modeling with a focus on automation, scalability, and a consistent customer experience
• Technical setup and structuring of data instances as well as coordination and support of data migrations
• Optimization of data and system processes as the basis for automated and target-group-specific CRM communication
• Internal and external stakeholder management as well as coordination of interfaces and external agencies
• Technical project management from strategic concept development through implementation to analysis and continuous optimization

• Ongoing support and further development.

• Built risk matrix engine using Apex & LWC; integrated Onfido for document verification.

• Integrated data from various sources into the Datawarehouse using Microsoft SQL Server, ensuring data integrity and optimizing performance
• Developed and implemented multiple data visualization solutions in PowerBI, Excel, and Looker Studio, focusing on scalability and efficiency
• Managed close stakeholder relationships, ensuring consistent communication and understanding of data needs
• Conducted thorough requirement analysis to align with business objectives
• Led cross-functional teams to deliver data-driven projects on time

• Management of digital business
• Design, build and run solutions based on ubiquitous technologies

• 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