I am a Data Engineer with a unique background that blends Finance (M.Sc.) with strong technical expertise in modern data platforms. While utilizing my 5 years of experience building mission-critical data products, I am actively transitioning into AI Data Engineering, aiming to build scalable GenAI and RAG applications.
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 build things just for fun. These projects serve as my personal technical sandboxes for exploring new tech, coding apps, and testing modern data architectures.
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.
My formal certifications and ongoing hands-on module achievements.
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 2022