Vienna, Vienna, Austria
• Formed the architectural vision for a company-wide data platform, ensuring alignment with strategic business objectives and data-driven initiatives. • Piloted a major cloud migration and data integration program leveraging Microsoft Azure, Synapse, and Databricks, delivering sophisticated analytics capabilities at scale. Defined and executed the Azure landing-zone and data-platform roadmap (Synapse + Databricks), enabling > PB data lake and reducing time-to-insight by 60% • Built a containerized infrastructure on Azure Kubernetes Service (AKS) to streamline application deployment and optimize resource management. • Oversaw governance and security best practices—GDPR compliance, hybrid network connectivity, and enterprise-wide identity management—while implementing modern DevSecOps workflows. • Launched a proof-of-concept using RAG (Retrieval-Augmented Generation) to explore next-level natural language generation, establishing frameworks for LLMOps and introducing MS Fabric. • Guided the adoption of Databricks, Synapse, and Purview to enhance data science, data engineering, and data governance, including real-time and batch processing through a robust lake house architecture. • Mentored 12 engineers; contributing to cross-functional FinOps culture realising 40% annual cloud cost savings
• Developed a large-scale, cloud-native infrastructure on Microsoft Azure and OpenShift, aligning to stringent business goals for Allianz Group. • Defined the company’s IT blueprint and cloud strategy, integrating stakeholder requirements into a cohesive roadmap that spanned global data regulations and performance SLAs. • Guided distributed, multi-vendor teams to ensure seamless collaboration and consistent delivery of Kubernetes- and Airflow-based solutions for diverse workloads. Delivered high-availability AKS clusters with service-mesh; zero critical incidents in first 6 months • Applied the Azure Well-Architected Framework to design robust landing zones, incorporate Azure AD for identity, and deliver high-availability applications with Azure Kubernetes Service (AKS). • Deployed hybrid and private cloud prototypes, supporting cross-functional initiatives while maintaining a strict adherence to industry compliance and security standards. • Collaborated with business leaders early in project lifecycles, shaping compelling visions for optimal cloud migration, modernization, and continuous improvement.
• Engineered an enterprise-grade Azure cloud data platform for the manufacturing sector, enabling real-time IoT data ingestion and analytics from diverse sensors and machines. • Created a scalable analytics pipeline using serverless Azure Functions, Cosmos DB, Databricks, and Azure Data Lake Gen2—accelerating complex data workloads while controlling cost and complexity. • Architected high-throughput ingestion pipelines with Azure Event Hubs, Stream Analytics, and Data Factory to manage multiple data formats and sources with minimal latency. • Deployed SAP HANA integration via Azure Function Apps, establishing bi-directional, near-real-time synchronization between on-premise infrastructures and the cloud.
• Developed and optimized SAP Extended Warehouse Management (eWM) solutions using ABAP and JavaScript (SAPUI5/Fiori), focusing on performance and user-centric design. • Implemented agile backend processes in ABAP and front-end interfaces in SAPUI5/Fiori, leveraging SAP Cloud Platform for modern, responsive web experiences. • Built HANA-based CDS views and OData services to enable dynamic data access from multiple sources, streamlining analytics and reporting. • Configured robust message queue interfaces, securing reliable data exchange within enterprise environments.
• Delivered customized ERP functionalities and real-time reporting modules in .NET and JavaScript, increasing operational efficiency for various clients. • Created and optimized MS-SQL procedures to preserve data integrity, mitigate security gaps, and improve overall database performance. • Integrated ERP systems with external platforms and services, providing clients with seamless data interoperability and a unified system of record.