Diego Lopes

Background

About Diego Lopes

I am currently pursuing a master’s degree in computer science with a specialization in Natural Language Processing. With five years of experience as a Data Engineer, I possess extensive knowledge in relational and non-relational databases, and data engineering processes such as Extract, Transform, and Load (ETL), as well as its variations such as EL and ELT. Furthermore, I am well-versed in various aspects of data management, including data modeling, entity-relationship modeling, data governance, data security, structured and unstructured data, data normalization (3NF form), dimensional modeling, ACID transactions, CAP theorem, data lakes, data marts, data mesh, and data warehouses. In addition to my expertise in data engineering and database technologies, I also have experience in CI/CD (Continuous Integration and Continuous Deployment) and Test-Driven Development (TDD). I have worked on projects where I have implemented CI/CD pipelines to automate the build and deployment processes, which has resulted in faster and more efficient software delivery. Furthermore, I am proficient in Python, a popular programming language in the field of data engineering and data science. I have utilized Python to develop data pipelines, perform data analysis and visualization, and build machine learning models. My proficiency in Python has enabled me to effectively work with data in various formats, including structured, semi- structured, and unstructured data. Overall, my experience in CI/CD, TDD, and Python, coupled with my expertise in data engineering and database technologies, allows me to design and implement comprehensive data solutions that meet business needs while adhering to industry standards and best practices.