Summary
Diego Barros is a Data Engineer with nine years of experience building scalable, resilient data solutions across fintech and consumer rewards platforms. He holds a Master's in Informatics (DB, IR, ML) and has applied CRF-based NER and entity disambiguation to link game mentions to canonical knowledge bases, showing strong research-to-production ability. At Méliuz and PagBank PagSeguro he owned end-to-end data pipelines, monitoring and orchestration (BigQuery, Airflow, Datadog/NewRelic, Cloud Functions/Lambda) and combines backend development skills (PHP/Laravel, Python/Flask, MySQL/Postgres/Redis) with cloud-first architectures. Comfortable in Linux and containerized environments, he pairs applied ML and data mining knowledge with pragmatic engineering to extract actionable insights for business decisions. Based in Amazonas, Brazil, he brings both academic depth in information retrieval and hands-on experience scaling telemetry and data products for high-impact teams.
9 years of coding experience
6 years of employment as a software developer
Mestrado em Informática, Banco de Dados e Recuperação de Informação, Mestrado em Informática, Banco de Dados e Recuperação de Informação at Universidade Federal do Amazonas
Engenheiro de Computação, Processamento Digital de Imagens, Engenheiro de Computação, Processamento Digital de Imagens at Universidade do Estado do Amazonas
Portuguese, English