Summary
Ellen Gonçalves is a Data Engineer with 11 years of experience, currently building scalable ETL pipelines and data architectures at Stefanini Brasil. She combines strong hands-on skills in SQL, Python and Spark with Big Data ecosystems (Hadoop, Hive) to prepare and model data for predictive and prescriptive analytics. Her background spans retail, marketing and public sector projects where she translated business requirements into automated validation code, dashboards and reusable datasets. Ellen holds a technologist degree in Systems Analysis and postgraduate specializations in Database Administration and Data Science & Big Data, and she regularly bridges data science and business teams through clear technical presentations. Known for applying agile practices in multidisciplinary squads, she also focuses on data governance, monitoring and production-ready constraints that keep pipelines reliable.
11 years of coding experience
Estácio de Sá University
The Pontifical Catholic University of Minas Gerais
Pós-graduação Lato Sensu - Especialização, Ciência de dados e Big Data, Pós-graduação Lato Sensu - Especialização, Ciência de dados e Big Data at PUC Minas
Tecnólogo em Análise e Desenvolvimento de Sistemas, Tecnologia da Informação, Tecnólogo em Análise e Desenvolvimento de Sistemas, Tecnologia da Informação at Centro Universitário da Cidade
Portuguese, Spanish, English