PROFILE

Data & AI Engineer with ~3 years of hands-on Databricks experience, combining two complementary strengths: building and migrating data-warehouse workloads to the Databricks Lakehouse ? robust ingestion and processing pipelines in PySpark, Delta Lake, and SQL ? and delivering production GenAI on Databricks: end-to-end RAG pipelines (chunking, embeddings, vector search, re-ranking) and agentic multi-agent architectures (Mosaic AI, Genie Spaces) exposed via OpenAI-compatible APIs. Financial-domain background across banking, insurance, and macroeconomic forecasting for institutional investors. Delivered in regulated enterprise environments with Git-based workflows, Jira-driven change management, IaC (Terraform), and formal client acceptance.

EXPERIENCE

10+ years data & analytics · ~3 years Databricks

TECHNICAL SKILLS

Expert

• Databricks (PySpark / Delta Lake / Unity Catalog) 
• Python 
• SQL 
• RAG 
• Agentic AI

Advanced

• Azure 
• GCP / BigQuery 
• Terraform 
• FastAPI 
• LangChain 
• MLflow 
• Docker 
• Git 
• Jira 
• Power BI

Familiar

• R 
• Tableau 
• SAS 
• Excel 
• Java

PROFESSIONAL EXPERIENCE

10/2022 ? today

Role: Data Engineer / Data Analystn, Freelance

Tasks:

• Databricks Projects: ETL prototyping and analytical workloads with PySpark and SQL for SME clients ? ongoing in parallel to consulting engagements.
• AI Automation: LLM-based workflow automation and agentic decision-support tooling for SME and enterprise clients.
• Statistical Consulting: Advanced methods (regression, clustering, hypothesis testing) for clients in healthcare, finance, and academia.

Skills:

Databricks / Python / SQL / R / FastAPI / Docker / Power BI

02/2026 ? 06/2026

Role: AI Engineer / Data Engineer (Consultant)

Customer: Ultra Tendency

Tasks:

• Databricks Lakehouse Engineering: Design and development of data-ingestion and processing pipelines with PySpark, Delta Lake, and Unity Catalog; resolved a production Delta-merge deduplication issue and optimized pipeline performance.
• Source Integration & Scheduling: Integrated external data sources (REST/SOAP APIs, incl. credit-rating data) into the Lakehouse; built reporting and scheduling solutions with Databricks Workflows.
• Data Engineering for RAG & GenAI: Built the ingestion and curation layer ? sourcing, parsing, and structuring data into Delta / Unity Catalog tables ? feeding GenAI agents (Genie Spaces); the same Delta-based pattern populates RAG vector indexes via Databricks Vector Search; working knowledge of chunking, embeddings, and vector search.
• Agentic AI on Databricks: Multi-agent architectures (Mosaic AI Agent Framework, Genie Spaces) orchestrated through a single governed endpoint, exposed via OpenAI-compatible REST APIs (FastAPI).
• Software Engineering & Change Management: Git-based development with code reviews, infrastructure as code (Terraform on Azure), CI/CD, and Jira-based ticket workflows in a regulated enterprise environment.
• Testing & Acceptance: Unit and integration testing, root-cause analysis, and formal client acceptance incl. documentation of 17 acceptance test cases.

Skills:

Databricks / PySpark / Delta Lake / Unity Catalog / Python / SQL / Azure / Terraform / FastAPI / Git / Jira

01/2024 ? 07/2025

Role: Data Engineer / Data Analyst (Consultant)

Customer: CBTW

Tasks:

• DWH-to-Lakehouse Migration: Supported the migration of legacy data-warehouse workloads to Databricks; re-implemented ETL logic as Databricks notebooks and jobs (PySpark, SQL).
• Pipeline Engineering: Developed and optimized ingestion and transformation pipelines over multi-source datasets; improved pipeline efficiency and data quality together with data-engineering teams.
• Forecasting & Analytics: Built and tuned predictive models; delivered interactive Power BI / Tableau dashboards for financial-services clients in banking and insurance.
• Delivery Process: Worked in Git/Jira-driven delivery with code reviews, unit tests, and ticket-based change management.

Skills:

Databricks / PySpark / Python / SQL / Power BI / Tableau / Git / Jira / SAS

05/2020 ? 10/2022

Role: Data Engineer / Data Analyst

Customer: FocusEconomics

Tasks:

• Investment-Grade Market Intelligence: Data-driven macroeconomic reports and forecasts for international financial clients ? banks, asset managers, and institutional investors.
• Forecasting Models: Classification and regression models predicting macroeconomic developments; visual reporting and systematic code-quality management.

Skills:

Python / SQL / Power BI / Tableau

08/2017 ? 11/2017

Role: Data Analyst Intern, Controlling

Customer: tecis Finanzdienstleistungen AG

Tasks:

• Financial Modeling & Controlling: Integrated financial models and performance statistics in a regulated financial-services environment.