Luiz Gustavo Di Franco Consani
About Luiz Gustavo Di Franco Consani
Luiz Gustavo Di Franco Consani is a Senior Software Engineer with extensive experience in software development and data analysis. He has worked at Avenue Code since 2021 and previously held positions at Metrum Equipamentos de Medição e Testes and RemOpt.
Current Role at Avenue Code
Luiz Gustavo Di Franco Consani has been working as a Senior Software Engineer at Avenue Code since 2021. In this role, he is responsible for developing software solutions and implementing best practices in software engineering. He focuses on ensuring code quality through unit and integration tests, achieving at least 80% coverage in his projects. His expertise in various programming languages and technologies supports the development of robust applications.
Previous Experience at Metrum Equipamentos de Medição e Testes
Before joining Avenue Code, Luiz worked at Metrum Equipamentos de Medição e Testes as an Expert Analyst from 2019 to 2021. His responsibilities included analyzing and improving measurement and testing equipment. Prior to this, he served as an Engineering Analyst at the same company, contributing to various engineering projects during his tenure.
Educational Background in Mathematics and Computer Science
Luiz holds a Mestrado em Modelagem Matemática e Computacional from CEFET, where he studied from 2012 to 2014. He also completed a degree in Mathematics at Universidade Federal de Minas Gerais from 2006 to 2009. Additionally, he pursued a specialization in Mathematics with an emphasis on Calculus at the same university from 2012 to 2013. His educational background provides a strong foundation for his work in software engineering.
Technical Skills and Expertise
Luiz is proficient in a variety of programming languages, including Python, Java, JavaScript, C/C++/C#, and Go. He has experience with frameworks such as Django, Flask, FastAPI, .Net MVC, and .Net Web APIs. His technical skills extend to server-side technologies, including Amazon Web Services (AWS), Docker, and Kubernetes. He is also familiar with best practices in software development, such as SOLID principles and Clean Code.
Experience with Data Processing and ETL Development
In his current role and previous positions, Luiz has developed scripts for extracting, transforming, and loading (ETL) data from government websites into data analysis applications. He utilizes Python libraries such as Pandas, Selenium, and BeautifulSoup for these tasks. His experience with databases like PostgreSQL, MySQL, and SQLServer further enhances his capabilities in data management and analysis.