Gema Fernández is a Lead Senior Data Engineer and MLOps specialist with 8 years of experience building and productizing ML and data platforms across banking, retail, and research environments. She has led end-to-end initiatives at BBVA AI Factory and Santander—moving models from research to production, designing cloud architectures, and driving On-Prem to Cloud migrations using Azure, GCP, Databricks, Spark, MLflow and CI/CD practices. Her background blends strong academic credentials (top-ranked master’s performance) with hands-on engineering: APIs, large-scale ETL/ELT pipelines, MSA design, and production-grade testing and quality tooling. She pairs technical leadership and team training with practical delivery—creating reusable utilities and libraries that standardize workflows across MLOps, data engineering and data science teams. Comfortable switching between coding and coordination, she’s equally at ease tuning Spark jobs and defining architecture roadmaps. A curious autodidact, she brings a researcher’s rigor to production constraints, having started by building a smart personalized nutrition service in a Horizon 2020 project.
8 years of coding experience
3 years of employment as a software developer
Máster Universitario en Ingeniería Informática, Máster Universitario en Ingeniería Informática at Universidad de Granada
Máster en Tratamiento Estadístico Computacional de la Información, Máster en Tratamiento Estadístico Computacional de la Información at Universidad Politécnica de Madrid
Repositorio de la asignatura DES para el curso 2018/2019
Contributions:91 commits, 1 PR, 46 pushes in 22 days
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