Summary
Paulo Justino is a seasoned Data Engineer based in Paraná, Brazil, with over a decade of hands-on experience designing and operating ETL/ELT pipelines across cloud ecosystems. He has modernized data platforms at major enterprises like Bradesco, optimizing PySpark jobs and Databricks clusters while implementing Delta Lake architectures for reliable, versioned analytics. His background spans AWS and Azure, orchestration with Airflow and Control-M, and practical tooling in Pentaho and Redshift, reflecting a strong focus on cost-performance trade-offs for high-volume financial and operational data. Earlier roles in systems analysis and ERP-adjacent implementations give him a pragmatic appreciation for downstream business needs and maintainability. Currently pursuing postgraduate specialization in AI, he blends robust engineering discipline with growing machine learning awareness—often approaching data problems with both operational rigor and an eye for analytical value.
11 years of coding experience
2 years of employment as a software developer
Pós-graduação Lato Sensu - Especialização Inteligência Artificial e Computacional, Pós-graduação Lato Sensu - Especialização Inteligência Artificial e Computacional at Universidade Federal de Viçosa
Especialização em Banco de Dados Oracle Banco de dados, Especialização em Banco de Dados Oracle Banco de dados at Centro Educacional Integrado