Alejandro Valenciano is a Data Engineer with 10 years of experience applying data processing, management and machine learning to real-world scientific and operational problems. Based in Madrid, he has moved from astronomic data and Linux system administration to predoctoral research in aerodynamics and now builds geospatial and weather-driven data products at Vexiza. He designs and deploys real-time backend services and APIs that integrate forecasting sources like EUMETSAT, ECMWF and NOAA, and leads R&D projects focused on risk prevention and process innovation. Alejandro combines strong academic training (Master’s in Data Science and Mobile Development) with hands-on skills in handling large scientific datasets, reduced-order modeling and visualization. He brings a pragmatic research mindset—validating models against real cases—to production engineering, making him adept at turning complex environmental data into operational insights. Quietly curious and technical, he thrives where physics-driven modeling meets scalable data infrastructure.
10 years of coding experience
5 years of employment as a software developer
Master's Degree in Data Science and Business Intelligence, Master's Degree in Data Science and Business Intelligence at University of Alcalá de Henares
Master's Degree in Mobile Development of Applications and Services, Master's Degree in Mobile Development of Applications and Services at Technical University of Madrid
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