Your partner for the Cloud

Felix founded Cloud Nation and leads the company as CEO – without stepping away from the technical work. As a Data Architect, he supports clients where architectural decisions have a long-term impact: He designs data platforms on AWS and Azure that account for governance, ownership and AI from the outset. That fact that he represents both perspectives also shapes how we work at Cloud Nation: we don't just design, we build.

Tamina is the first point of contact when it comes to assessing a need and bringing the right people together. She supports clients from the initial inquiry through staffing and into the ongoing collaboration, making sure expectations, scope and availability are aligned from the start. Throughout a project she remains the constant on the organizational side.

Tobias builds modern data platforms from architecture through implementation to operation and further development. His focus is on cloud solutions in AWS and Azure, and on Databricks for scalable data processing. With Infrastructure as Code he creates transparent, automated and sustainable data solutions that make for stable processes and well-founded decisions.

Ulas works at the point where processed data becomes a reliable basis for decisions. He builds data models and analytics workflows in Microsoft Fabric and Power BI that work not only in demos, but hold up in day-to-day business. Data modeling and DAX are not an afterthought here, they are part of the platform design.

Kilian works at the intersection of engineering and architecture, building data solutions on a range of platforms and cloud environments. Rather than focusing on a single tool, he combines Databricks, Microsoft Fabric, AWS and Azure so that they fit the existing landscape and the client's requirements. He puts weight on clean documentation and traceable decisions that still hold for the teams after go-live.

Martin designs and implements scalable, production-ready AI systems. His focus is the end-to-end operationalization of complex GenAI and RAG architectures – from robust cloud infrastructure through the data pipeline to a modern frontend. That whole-system approach turns technological potential into measurable business value without detours.

Alana turns prepared data into analyses that get used in day-to-day work. She works in Microsoft Fabric and focuses on defining metrics so they mean the same thing across departments. The result is reporting that ends discussions about the numbers instead of starting them.

Felix ensures that what has been built runs reliably. He operates containerized workloads on Kubernetes, automates deployment and configuration, and lays the groundwork for changes to go into production without risk. He looks at data platforms the way operations does – and for him that does not start after go-live.

Heiko brings AI to where it meets machines, equipment and long-established processes. He works at the intersection of production and data platform: he opens up operational and sensor data, makes it analyzable, and builds applications from it that hold up on the shop floor – from predictive maintenance to automated quality assessment. His starting point is not the model, but the process that is meant to run better.