I worked on the DevOps infrastructure and operations for a Nestjs API and a Vue.js frontend application, ensuring seamless deployment and scalability. I implemented CI/CD pipelines, automated testing, and followed AWS Well-Architected Framework principles for a Brazilian startup.

Acted as a DevOps advisor and support engineer for a Spring Boot microservices project for a startup from Spain.

Using Django Framework to create a web application, to automate tasks in a civil engineering laboratory.

A dashboard to visualize life expectancy data, using airflow, batch and streaming data, and machine learning algorithms, to predict future trends and improve healthcare outcomes.

Here is a complete guide to Python fundamentals for Data Science, starting with the basics of Python programming, iterators and generators, SQL with SQLite NoSQL with MongoDB, pandas and numpy, and how to make ETL and a EDA