Python Experts in Zurich

Power BI development and administration, training, consulting, data modeling, DAX development

MS Fabric, MS Power BI, DAX

• Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
• Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
• Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
• Led the divisional & group wide Application Rationalization initiative
• Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
• Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
• Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
• Built and owned the 3-year IT Strategic Roadmap for Chemtech
• Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
• Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.

• Developed Power BI semantic models and DAX measures, reducing financial reporting time.
• Implemented RLS, strengthening role-based data access and governance controls.
• Delivered automated KPI dashboards, accelerating reporting and decision-making.
• Designed a Fabric Lakehouse with Bronze, Silver and Gold layers, improving data processing.
• Built Fabric pipelines and PySpark transformations, reducing processing time by 40%.
• Built and optimized Power BI semantic models, improving report performance, scalability and usability.
• Optimized UNIX universes, reducing query execution time by 40%.

Environment: Power BI (Semantic Models, DAX, RLS), Microsoft Fabric (Lakehouse, Pipelines, PySpark), SAP BO 4.3/2025, Web Intelligence, IDT/UNX, InfoBurst, 360Suite, GitHub, JIRA.

• Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
• Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
• Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
• Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
• Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
• Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
• Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."

• Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
• Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
• Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
• Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
• Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
• Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
• Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
• Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
• Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
• Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
• Developed and optimized Algorithms using python libraries like Numpy and Pandas.

• Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
• Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
• Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
• Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
• Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.

• Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
• Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
• Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
• Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
• Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB

• Definition of a product concept and end to end solution delivery (turnkey) for a Digital Efficiency Hub for Railway Maintenance based on 5G campus networks. Integration of various hardware and software systems in a comprehensive delivery with success metrics. Laise the concept and process across the enterprise. Compliant process definition and financial management with commercial model.

Technologies: 5G, RAN, SAP, Cloud, Enterprise Architect, Autonomous Robots, ITIL, CoBIT, TBM, BSI, ISO 27001

• Product strategy, architecture, and technical co-direction
• AI workshops, client onboarding and go-to-market activities
• Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
• Hands-on development of prototypes and production-ready AI integrations
• Consulting clients on AI adoption, workflows, and integration into existing infrastructure
• Collaboration with co-founders on strategic direction
• Collaboration in sales and customer acquisition

Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker

• Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
• Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
• Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
• Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
• Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
• Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
• Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
• Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations

• Implementations of a code refactoring framework able to refactor thousands of repositories leveraging Generative AI
• Use Python (Django, Flask, FastAPI), Java and Typescript in Azure Cloud (Data Lake, VMs, AI) and GitLab infrastructure
• Mentoring and pair programming
• Obtained Azure AI-900 and AI-102 certifications

• ZHAW CAS Secure Software Design and Development
• German C1 and Goethe Certificate C1
• ETH CAS Cloud and Mobile Computing at ETH Zurich
• Linux Foundation Linux System Administration LFS307
• Linux Foundation Kubernetes Fundamentals LFS258
• Linux Foundation Kubernetes for Application Developers LFD459
• Linux Foundation Kubernetes Security Fundamentals LFS460

• Project management: Implementation of SAP & EBX integration for master and reference data management and led development of AI supported services for data management and privacy-oriented solutions
• Business analysis: Executed in-depth requirement gathering and data analyzes for MDM implementation, supported service integration using REST APIs to enhance service interoperability, led the requirement gathering, analysis, and implementation of agent-based AI services
• Technologies: SAP BP & FICO & MM, Tibco EBX, n8n, custom AI development in Java, Python, RDBMS, cloud

• Build prototypes, expand AI skills, and practical application in a startup context.
• Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
• Technologies: LangChain, REST, Python, Java, JS, TS, Node.