Summary
Jose Fernández is a Big Data Engineer based in Oviedo with 11 years of experience building data ingestion pipelines, ETLs, and cloud-native platforms for large enterprises. He pairs a Software Engineering degree from Universidad de Oviedo with a Master's in Artificial Intelligence from UPM, applying ML support and productization in Google Cloud and AWS environments. At Vodafone he focuses on batch and streaming ingestion, ML model deployment, and Terraform-driven infrastructure as code, after earlier roles at Accenture where he developed event-driven EMR coordination tools and serverless ingestion with Lambda. Comfortable across the data lifecycle, he translates analytics needs into reliable pipelines for Data Scientists and Analysts while maintaining platform operability. Notably, he blends research-minded AI training with practical production experience, enabling smoother transitions from ML prototypes to scalable services.
11 years of coding experience
4 years of employment as a software developer
Grado en Ingeniería Informática de Software, Ingeniería informática, Grado en Ingeniería Informática de Software, Ingeniería informática at Universidad de Oviedo
Máster Universitario en Inteligencia Artificial, Máster Universitario en Inteligencia Artificial at Universidad Politécnica de Madrid
Spanish, English