Dúalta Fionnagáin is a Scientific Data Engineer III with a decade of experience translating physics-driven research into scalable data solutions for life sciences and Earth observation. Trained as an astrophysicist, he pivoted from modelling plasma and radio environments around stars to building AI-ready data pipelines at TetraScience, combining domain rigor with production engineering. His background in low-frequency radio astronomy and satellite-based crop-yield forecasting gives him a rare cross-disciplinary fluency in noisy, complex scientific datasets. Proficient in Python, high-performance simulation workflows, and cloud-enabled data platforms, he focuses on making experimental and observational data interoperable and reproducible. Known for turning supercomputer-scale research practices into practical data products, he brings both research-first curiosity and delivery-oriented craftsmanship to product teams. Based in Galway, he pairs deep scientific literacy with hands-on data engineering to accelerate research-to-insight in climate and life-sciences.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Astrophysics, 2.1, Bachelor's degree, Astrophysics, 2.1 at Trinity College Dublin
Master of Science - MS, Space Science and Technology, Master of Science - MS, Space Science and Technology at University College Dublin
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