Summary
Thomaz Neto is a Master Data & AI Engineer with 9 years of experience transforming complex, highly regulated data ecosystems into production-ready platforms for large enterprises. Currently at CI&T he leads data architecture and engineering for major insurance projects, designing Azure/Databricks solutions and championing best practices across teams. He combines hands-on expertise in Spark (PySpark, SparkSQL, Scala), Azure Data Lake, ADF and Databricks with people leadership as a career consultant and trainer. His background spans data platform builds at Serasa, Zurich Santander and media analytics for Rede Globo, giving him strong domain experience in finance and media. Certified through multiple MBAs and extensive Data Science Academy programs, he pairs formal training with practical delivery of modern data warehouses and Delta table architectures. Notably, he mentors talent internally while running mission-critical pipelines in regulated environments, blending technical depth with organizational impact.
9 years of coding experience
2 years of employment as a software developer
Pós-graduação Lato Sensu MBA - ENGENHA DE DADOS E BIG DATA, Pós-graduação Lato Sensu MBA - ENGENHA DE DADOS E BIG DATA at IGTI
Extensão | Formação Engenheiro de Dados - 304 horas, Extensão | Formação Engenheiro de Dados - 304 horas at Data Science Academy
Formação EAD Empreendedorismo Negócios e Startups, Formação EAD Empreendedorismo Negócios e Startups at Fast MBA
TÉCNICO EM INFORMÁTICA Tecnologia em Informática/Software, TÉCNICO EM INFORMÁTICA Tecnologia em Informática/Software at INSTITUTO EDUCACIONAL PROFISSIONALIZANTE DE JALES/SP
ANALISTA DE SISTEMAS ANALISE E DESENVOLVIMENTO DE SISTEMAS, ANALISTA DE SISTEMAS ANALISE E DESENVOLVIMENTO DE SISTEMAS at FUNEC, SANTA FÉ DO SUL/SP