About Markus
- 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
- 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
German
Native or bilingual
English
Fluent
Experience
- B. Braun Medical AGSenior Data EngineerMEDICALFebruary 2024 - August 2025 (1 year and 6 months)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.
- Austrian Research Promotion Agency (FFG)Change Agent / Data ManagementRESEARCHJanuary 2023 - April 2023 (3 months)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.
- A1 Telekom Austria AGData AnalystTELECOMMUNICATIONSApril 2017 - August 2022 (5 years and 4 months)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.
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Education
- Master of ScienceUniversity of Vienna2016Master of Science
- Bachelor of ScienceTechnical University of Vienna2013Bachelor of Science