Summary
Gessica Paniagua is a Senior Data Engineer based in Barcelona with nine years of experience building Python-driven solutions for geospatial image processing and data pipelines. She has a strong practical background in tools like QGIS, NumPy, Linux, Google Cloud, Django and DRF, and helped develop the open-source Lomas ecosystem monitoring platform’s vegetation detection model. Her career path spans startups and consultancies—from hands-on Python development at Dymaxion Labs to data engineering roles at Mática Partners, GoTrendier, Bluetab (IBM), and now Ayesa—demonstrating versatility across R&D and production environments. Comfortable moving models and processing workloads into cloud-native pipelines, she combines a research-minded approach to geospatial problems with production-grade engineering practices. An often-overlooked strength is her end-to-end perspective: she pairs low-level image processing experience with API and deployment skills that make prototypes operational.
9 years of coding experience
5 years of employment as a software developer
Técnica Universitaria en Programación Ciencia y Tecnología, Técnica Universitaria en Programación Ciencia y Tecnología at Universidad Tecnológica Nacional
Universidad Nacional de La Plata