Daniel Carvalho

Daniel Carvalho is a Brazilian Data Engineer with a degree in Computer Science from Universidade de São Paulo (USP). They have gained significant experience in consulting, working on projects for notable national and international companies, and have specialized in developing scalable data engineering solutions, ETL/ELT pipelines, and quality checks. Daniel served as a coordinator for the Data Science and Machine Learning group at USP, organizing events and studying AI topics, and also contributed as a Research Assistant in Explainable Artificial Intelligence. Currently, Daniel works as a Data Engineer at Artefact and has proficiency in a variety of technologies including AWS, Azure, Airflow, Snowflake, and SQL.