I am Marcos Vasconcellos de Andrade, a Data Engineering, Artificial Intelligence, and Linux Infrastructure Specialist based in Brasília, Brazil. With over 25 years of experience in IT—including a 30-year background with the Brazilian Army managing high-availability environments and distributed network infrastructure—I bridge traditional core infrastructure with modern Big Data, Business Intelligence, and Generative AI ecosystems.
I hold a degree in Internet Systems from IFB (2020) and a Postgraduate degree in Data Engineering and Architecture with a dual certification in Artificial Intelligence from XP Educação (2024). My core technical stack includes Python, Oracle SQL, Apache Spark, Apache Airflow, Power BI, Pentaho, Docker, and Linux environments.
Beyond enterprise data integration and pipelines, I am deeply passionate about Generative AI, AI Agents, and Large Language Models (LLMs), actively sharing insights and content through my tech portal, blog.dataengineer.net.br. I am always open to connecting, sharing knowledge, and collaborating on remote or full-time projects focused on Data, AI, and robust infrastructure.
Let's connect?
Description: A blog dedicated to sharing articles and insights on artificial intelligence. Technical and accessible content for professionals and tech enthusiasts. Technologies used: Jekyll, Chirpy Theme, HTML5, CSS3, GitHub Pages. Goal: Create a space to publish technical articles, case studies, and analyses on AI trends.
Project on GitHub Live Project Preview
Description: Creating insights into AI's perspective on the future of generative AI. Technologies used: ChatGPT for text, Leonardo.ai for artwork, and VS Code for editing. Creation process: I thought of something curious and potentially controversial; I used the free version of ChatGPT and questioned the AI about its own perspective on the future.
Link to project on GitHub
This project was created to develop a fast and intuitive stock analysis platform without distractions like pop-ups or forced sign-ups. Utilizing real-time data from relevant financial APIs, the tool allows investors to perform their analysis efficiently and without interruptions.
Link to project on GitHub
This project is a web application developed for condominium management. It offers a user-friendly interface and powerful tools for property managers and residents.
Link to project on GitHub