Stefan Kasberger

My name is Stefan Kasberger.

In my professional life I am a Software Developer and DevOps Engineer. I like to build things that make life easier.

Besides that, I love to spend time with my family (Hannah, Moritz and Luise) and friends, do sports or play games. So it never gets boring. :)

Living in Vienna, Austria

Working as "Technical Consultant Big & Open Data" at the Austrian Federal Computing Center (BRZ) + Freelance Consulting

Studied "Environmental Systems Science - Geography" at the University of Graz (drop out)

Volunteering: Founder of openscienceASAP, Open Science Working Group AT and Offene Wahlen AT. Former chairman of Open Knowledge AT

Interests: Family, Sport, Music and Games

pyDataverse

I built an Open Source Python module for the Dataverse community. It is now maintaned by the Dataverse Community.

Dataverse (CTS & OAIS)

At the University of Vienna I operated the AUSSDA Dataverse. This included all related processes, such as OAIS alignment, the CoreTrustSeal certification and the technical strategy.

Text and Data Mining

During the Zika epidemic, I applied Text and Data Mining to extract information from thousands of academic papers to understand the virus better.

Reachability Analysis

During my study in Graz, I conducted a reachability analysis with pgRouting, QGIS, Docker and OpenStreetMap data to get hands on the full geo data pipeline.

Create Smart Data Pipelines

Extract

Process

Analyze

Use

Developing

I build - from small scripts to cloud-native applications. My focus is on Open Source and Open Standards to produce high quality code without vendor lock-in.

Tools

Agents (Codex, Claude), Python, Git, VSCode

Paradigms

Agentic Engineering, Cloud-Native, Open Source, TDD, OpenAPI

Operating

I design and operate CI/CD pipelines & processes with an agile approach..

Processes

CI/CD, Monitoring, Backup, Scrum, Web-Analytics, Preservation

Tools

Kubernetes, Docker, Tekton, ArgoCD, Kustomize, Shell, Linux, Matomo, Grafana, Restic

Paradigms

GitOps, CoreTrustSeal, OAIS, Agile, OAI-PMH, DDI

Using

Value is often created at the end of the data pipeline, when the prepared data is finally used for its intended purpose. This can be a simple visualization, a complex analytical pipeline or a service on its own.