Summary
Diego Hartwig is a seasoned data engineer and software developer from Brazil with nine years of hands-on experience building high-availability systems and data platforms. He currently designs and operates ingestion pipelines, real-time integrations and governance layers using tools like Airflow, dbt, Spark, Trino, Kafka/Debezium and Delta Lake, while also deploying object stores such as MinIO/Ceph. His background spans full-stack enterprise development (.NET, Java, microservices, CI/CD) and production ML work including CNNs for document classification, OCR and computer vision. Diego combines operations-minded engineering with a strong focus on data quality and observability, and is completing advanced studies in AI and data engineering to bridge research and production. A pragmatic problem-solver, he has repeatedly modernized public-sector systems for scale and governance, often integrating legacy databases (Oracle, Sybase, SQL Server) into modern data architectures.
9 years of coding experience
9 years of employment as a software developer
Pós-graduação Lato Sensu - Engenharia de Dados, Pós-graduação Lato Sensu - Engenharia de Dados at Universidade Tuiuti do Paraná
Graduação em Sistemas para Internet, Graduação em Sistemas para Internet at Universidade do Sul de Santa Catarina
Pós-graduação Lato Sensu - Inteligência Artificial Aplicada, Pós-graduação Lato Sensu - Inteligência Artificial Aplicada at Universidade Federal do Paraná
Téc. em Informática Ênfase em Análise e Desenvolvimento de Sistemas, Téc. em Informática Ênfase em Análise e Desenvolvimento de Sistemas at FEMA - Fundação Educacional Machado de Assis
English