Rafael Mariano is a Staff Data Engineer with nine years of experience blending geoinformatics research and production data engineering, currently shaping data platforms at Visa after leadership roles at Pismo. He holds an M.Sc. in Applied Computing from INPE and has applied that research mindset to build reproducible land-cover classification tooling using R and Docker. Rafael designs and implements scalable data lakes and pipelines with Databricks, Spark, Airflow and the AWS data stack, while codifying infrastructure with Terraform and CI/CD practices. Comfortable across back-end (Java, Python, R), front-end (JavaScript, React) and spatial databases (PostgreSQL/PostGIS), he bridges analytics and engineering to deliver trusted datamarts. Colleagues rely on him to translate business questions into robust, automated data workflows—often leveraging his background in satellite data processing to solve atypical data problems.
9 years of coding experience
5 years of employment as a software developer
Fédération Internationale de l'Art Photographique
Tecnólogo, Análise e Desenvolvimento de Sistemas, Tecnólogo, Análise e Desenvolvimento de Sistemas at Fatec São José dos Campos - Prof. Jessen Vidal
Master of Science - MS, Applied Computing, Master of Science - MS, Applied Computing at Instituto Nacional de Pesquisas Espaciais - INPE
Técnico, Informática, Técnico, Informática at ETEC - Machado de Assis
Curso de Verão em Geoinformática e Geospatial Data Science
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