I am a Data Engineer transitioning into AI Data Engineering with a unique background that blends Finance (M.Sc.) with strong technical expertise in data platforms and software engineering. Databricks Certified GenAI Engineer specializing in RAG applications, Vector Search, and LLM-enabled solutions.
Role: Data Engineer (End-to-End) | Jan 2023 - Aug 2025
To modernize investment performance calculations and liberate dataflows from legacy systems by building a specialized, domain-specific data platform.
Built an isolated platform segment in close collaboration with the customer. Designed and implemented daily end-to-end pipelines for Return, Risk, and market data. Revamped cash flow reporting and orchestrated SQL warehouse migrations.
Role: Data Engineer / Platform Engineer | Jan 2023 - Aug 2025
Create a modern, agile data platform empowering the organization to build dataflows swiftly based on business needs.
Streamlined processes and improved reporting capabilities through a comprehensive Azure-based platform. Created Azure data services, implemented robust user management/security, and optimized data streaming.
Role: Data Engineer | Jan 2023 - Aug 2025
Migrate 100+ legacy Databricks notebooks to new data sources and ensure 100% data consistency without stalling development.
Developed a custom test bench for automated regression testing and utilized GenAI augmented workflows to systematically refactor code at speed. Utilized a systematic Agentic Development Methodology to maintain strict quality control.
Role: Lead Architect (POC)
Explore the feasibility of automating the migration of complex legacy Informatica workflows to modern dbt models to reduce manual refactoring effort.
Designed and partially implemented a semi-automated migration pipeline utilizing GenAI to interpret transformation logic and generate compliant dbt code. Validated the feasibility of AI-driven legacy code modernization.
Role: Senior Integration Specialist | 2025
To comply with the new EU Deforestation Regulation (EUDR), the customer needed to attach specific traceability numbers to transport orders. The goal was to replace error-prone manual updates with a fully automated, auditable system.
Designed and implemented a production-ready `GET -> MODIFY -> POST` integration using Azure Web Apps Surface. Automated daily scheduling, robust error handling, full audit logging, and secure secret management.
Beyond client work, I love building tools and exploring new tech. Here are some of my personal projects.
You are looking at it! Built with semantic HTML, CSS, and vanilla JS. Documented with `docs` and deployed via GitHub Pages.
View SourceAutomated processing and visualization of e-cycling race results. Python scripts to parse data and generate graphics.
View RepositoryA fun project exploring cycling events data, built with Streamlit.
E-Sports Championship transparency project.
An ambitious Full Stack AI-platform (SvelteKit + Python). "Failed due to its size", but served as a massive learning ground for architecture and complex orchestrations.
Automated workflow to sync documentation from multiple projects into a central repository. Keeps knowledge organized and accessible.
Issued February 17, 2026 • Expires February 17, 2028
Design and implement LLM-enabled solutions, RAG applications, and LLM chains using Databricks Vector Search, Model Serving, MLflow, and Unity Catalog.
Issued October 31, 2022 • Expired October 31, 2024
Cleaned streets and emptied trash bins during night shifts while others partied. Winter specialty: snow shoveling at 4 AM. Early training for cleaning messy data – though data doesn't freeze. ❄️➡️📊