Douglas Amorim

Douglas Amorim has over 5 years of work experience in the technology and data engineering fields. Douglas started their career in 2016 as an Atendente, Assistente Administrativo Jr., and Assistente Administrativo S\u00eanior at Est\u00e1cio. In 2018, they became an Analista de Sistemas Jr. at YDUQS. In 2020, they joined Altran Consultoria em Tecnologia Brasil as an Especialista em Engenharia de Dados S\u00eanior and Consultor de BI S\u00eanior. In 2021, they became the Head of Data | Data Engineering | Analytics | BI at Gavea Marketplace. During their time at Altran Consultoria em Tecnologia Brasil, they were responsible for leading technical teams, building data warehouses and scripts, creating models with machine learning algorithms, constructing pipelines and dashboards, integrating and migrating large amounts of data, structuring data lakes, and providing strategic support to the business.

Douglas Amorim has a comprehensive educational background. Douglas completed a Technical Degree in Construction in 2013-2014 at VITEC. Douglas then went on to obtain a Bachelor's Degree in Analysis and Development of Systems at Estácio in 2016-2018. Douglas is currently pursuing a Master of Business Administration in AI, Data Science, and Big Data at Pontifícia Universidade Católica do Rio Grande do Sul since 2020. In addition, Douglas has obtained various certifications from Udemy, Alura, Hotmart, and Coursera, including Formação Engenheiro de Blockchain, Governança de Dados, Programação Backend com Python, Javascript para Backend, Hands On - Apache Airflow, Amazon AWS Solution Architect, 65 Soluções em DAX, Apache Airflow, Data Lakes com Power BI e Dremio, Google Cloud Platform Big Data and Machine Learning, Orquestração de Containers com Kubernetes, Microsoft Power Apps, Microsoft Power Automate, Apache Kafka, Apache Spark with Databricks, Big Data - Processamento de dados com Spark e PySpark, Programando um Bot do WhatsApp em Python, Análise de dados com Google BigQuery, Powershell, and Azure Cloud - Azure Databricks - Apache Spark - Machine Learning.