Summary
Carlos Navarro is a pragmatic software engineer with over a decade of experience designing and implementing cloud-native, microservice and data platforms across European research and commercial projects. He blends hands-on backend development in Python, Ruby and Scala with architecture work鈥攈aving designed microservice architectures for an H2020 Big Data platform and led pilots for multimedia emotion extraction. Carlos has built data ingestion and analytics pipelines using Kafka, Kubernetes, Google Cloud (Data Fusion, BigQuery, GCS) and AWS serverless/Redshift, and is a Google Cloud Certified Professional Data Engineer. His background includes applied NLP, sentiment analysis, SolR/MongoDB document stores and web scraping, often combining linguistic processing with scalable ingestion. Based in Madrid, he brings a mix of research project experience and production-grade engineering that favors pragmatic, multi-language solutions.
10 years of coding experience
8 years of employment as a software developer
Ingeniero Superior de Telecomunicaci贸n, Telecomunicaciones, Telem谩tica, Ingeniero Superior de Telecomunicaci贸n, Telecomunicaciones, Telem谩tica at Universidad Polit茅cnica de Madrid
English, Spanish