Summary
Lucas Deolindo is a Data Engineer with eight years of experience blending software engineering rigor and data platform expertise to build scalable, observable, and secure pipelines. Based in São Paulo, he has delivered end-to-end solutions across multicloud environments (AWS, Azure, GCP), optimizing ingestion, feature engineering and ML refactors that expanded coverage from regional to national models. His work spans entity resolution at scale, OCR-based document processing, and dramatic performance gains in web scraping and ingestion through async designs and rate-limit handling. He has driven observability, access governance and secure API patterns in enterprise settings, and mentored teams on best practices across product and data layers. Notably, he engineered an Integrity solution crossing 30k partner records with 70M CNPJs and refactored scraping pipelines to triple per-source volume while cutting runtimes from weeks to days.
8 years of coding experience
6 years of employment as a software developer
Bacharelado, Ciência da Computação, Bacharelado, Ciência da Computação at Federal University of Technology - Parana
English