Summary
Daniel Bonhaure is a seasoned software engineer and consultant with 11 years of experience building data-driven systems for climate and environmental applications across international organizations. He blends strong software engineering foundations (Python, R, Java, OOP, MDD/TDD, Linux) with domain expertise in meteorological data management, NetCDF handling, and operational forecast productization for projects across CRC-SAS, WMO, IAI and the IDB. Daniel has repeatedly translated research methods into production workflows—automating forecast pipelines, quality controls, and spatial web services—while contributing to open tools like the CRC-SAS weather generator. Based in France, he pairs academic training (Master’s and Engineer’s degrees in Software Engineering/Informatics) with hands-on sysadmin and DevOps experience (Docker, APIs), making him comfortable across research, operational and client-facing delivery. An understated strength is his ability to generalize data input and reporting patterns using design patterns and reproducible R/Python reporting, bridging research analytics and scalable production.
11 years of coding experience
2 years of employment as a software developer
Facultad de Ciencias y Tecnología, Universidad Católica "Nuestra Señora de la Asunción"
Master's degree in Software Engineering, Computer Science, Software Engineering, Master's degree in Software Engineering, Computer Science, Software Engineering at Facultad de Informática within Universidad Nacional de La Plata
French, English, Spanish