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Ana Elisa Castro

Data Engineer at Dataside

Ana Elisa Castro has work experience as a Data Engineer at Dataside since April 2022. Prior to that, they worked as a Data Engineer at BlueShift Brasil from January 2022 to April 2022. Ana Elisa also has experience as a Development Intern at MV from June 2021 to January 2022.

Ana Elisa Castro's education history begins in 2018 when they enrolled at Universidade Federal Rural de Pernambuco. Ana Elisa pursued a Licenciatura em Matemática degree, although the specific field of study is not provided. Ana Elisa completed their degree at this institution in 2023.

In 2020, Ana Elisa Castro also attended Universidade Tiradentes-Unit, where they pursued a Graduação in Analise e Desenvolvimento de Sintemas. Ana Elisa completed this program in 2021.

In addition to their formal education, Ana Elisa Castro has obtained several certifications. In 2023, they received a SQL (Basic) Certificate from HackerRank. In 2022, they earned certifications in Big Data Fundamentos 3.0 from Data Science Academy, Imersão em Azure Big Data from LS Treinamentos, and Databricks e PySpark: analisando dados from Udemy. In 2021, Ana Elisa Castro obtained certifications in Azure para Iniciantes from Udemy, Linux: A introdução ao sistema operacional from Digital Innovation One Inc., Bootcamp Engenharia de Dados from Instituto de Gestão e Tecnologia da Informação, Arquitetura de Sistemas Avançado from Digital Innovation One Inc., Conceitos de responsividade e experiência do usuário from Digital Innovation One Inc., Fundamentos de Arquitetura de Sistemas from Digital Innovation One Inc., Primeiros passos com .NET + C# from Digital Innovation One Inc., and Projetos ágeis com SCRUM from Digital Innovation One Inc.

Other certifications include Microsoft Azure Fundamentals (AZ-900) from Ka Solution in 2020 and Power BI - Do Básico ao Avançado from Udemy Brasil in 2020.

Lastly, Ana Elisa Castro obtained an Academy Accreditation in Databricks Lakehouse Fundamentals from Databricks in 2023.

It is important to note that no assumptions are made beyond the provided information.

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