Description

If your goal is to move from AI strategy to actual implementation, you don’t need more concepts – you need a SOLID DATA FOUNDATION.

That’s where I come in.

As a freelance Data & AI Engineer, I build scalable data platforms and prepare organizations for real-world AI use cases – from advanced analytics to production-ready ML and LLM applications.

I’m typically brought in when:

data platforms stop scaling or become overly complex
AI initiatives are stuck between concept and production
data foundations aren’t ready for advanced analytics or LLM use cases
performance, cost or reliability become critical issues

What I deliver:

Modern data platforms (Lakehouse, Medallion, Data Vault 2.0)
Scalable pipelines (Spark, Kafka, cloud-native architectures)
AI-ready foundations (RAG, vector databases, MLOps)
Migration & modernization (Azure, SAP, legacy systems)
Architecture decisions that still hold 2–3 years from now

I combine strong data engineering fundamentals with hands-on AI experience – not to experiment, but to build systems that actually run in production.

I don’t join projects to add capacity. I join to solve problems.

Domaines d’expertise

Langues

Allemand
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Luzern (jusqu’à 50 km)

B. Braun Medical AG
Senior Data Engineer
SECTEUR MÉDICAL
février 2024 - août 2025 (1 an et 6 mois)
Sempach, LU, Switzerland
• • Designed and implemented a modern Azure Lakehouse architecture based on Medallion principles (Bronze, Silver, Gold) using Azure, Databricks and Delta Lake
• • Built scalable ELT pipelines for integrating multiple source systems into a unified analytics platform
• • Delivered end-to-end cloud data engineering solutions, including migration of legacy systems such as SAP and SAP BW as well as Salesforce data integration, using Azure Data Factory, Databricks and Power BI
• • Providing internal consultancy on data initiatives, including data governance, data integration and analytics.
Salesforce Databricks Microsoft PowerBI Microsoft Azure SAP ERP
Austrian Research Promotion Agency (FFG)
Change Agent / Data Management
CENTRES DE RECHERCHE
janvier 2023 - avril 2023 (3 mois)
Vienna, Austria
• • Contributed as a Change Agent, focusing on Data Governance and Data Analytics & Data Engineering.
• • Collaborated with cross-functional teams to drive effective data management practices and implement data analytics solutions.
Microsoft Power BI Python SQL C# SQL Server
A1 Telekom Austria AG
Data Analyst
TÉLÉCOMMUNICATIONS
avril 2017 - août 2022 (5 ans et 4 mois)
Vienna, Austria
• • Over several years, combined dual responsibilities with ~70% focus on hands-on Data Engineering, delivering high-impact data platforms with measurable business value. Built and optimized real-time and batch pipelines using Apache Kafka and an on-premises Cloudera (Apache Spark) environment, including Linux-based operations and Bash scripting for automation, orchestration and platform management. Strong focus on data reliability, governance and operational stability. Later led the transition toward Azure cloud native data platforms, improving scalability, cost efficiency.
• • Consistently delivered actionable, data-driven insights, presenting results to executive leadership and senior management to enable strategic decision-making and improve operational performance.
• • Transitioned into a strategic staff role for 4–5 years, dedicating around 30% of efforts to driving digital transformation initiatives and leading key strategic projects across the organization.
Spark Apache Kafka Microsoft Azure Tableau software Transact-SQL