Summary
Benjamin Audren is a Data Architect with 11 years of experience blending DevOps, data engineering and scientific research to help teams deliver reliable, testable systems. He brings a PhD-level background in theoretical physics and cosmology—having authored an open-source Monte Carlo code used by the community—which informs a rigorous, statistics-driven approach to data and testing. At ELCA he has driven containerization, CI/CD, modern version control and automated testing frameworks across internal teams and client projects. Comfortable presenting complex topics to technical and non-technical audiences, he has run international workshops and taught advanced Python for scientists. Colleagues rely on him to configure the advanced tooling and testing strategies that balance effort and reward while enabling scalable data solutions.
11 years of coding experience