Hi there, I'm Caio 👋

Data Engineer focused on driving business value through data.

Feel free to explore my portfolio. Here you will find links to my GitHub, LinkedIn, certificates, professional experience, and some random things you might find interesting.

Skills

  • Cloud Computing
  • Databases
  • Dashboards
  • Programming

My Experience

Internship – Petronect

November 2022 – October 2023
  • Automated business processes using VB.Net and Python.
  • Developed Python scripts to extract data from SAP and load it into Oracle databases.
  • SQL queries in Oracle databases to extract business insights.
  • Built reports and dashboards in Power BI using direct database connections.

Data Analyst Intern – Enel

October 2023 – December 2025
  • Extracted and transformed data from heterogeneous sources using Python (Pandas).
  • Acted as a liaison between business teams and Digital Solutions to design new Data Lake tables.
  • Developed dashboards with key performance indicators (KPIs) for the Supply Chain management team.

BI Analyst – NTT DATA

January 2025 – Present
  • Developed Spotfire dashboards to support supply chain decision-making.
  • Built Excel reports using Power Query for advanced data analysis and transformation.
  • Integrated data from multiple sources to improve and optimize supply chain processes.
  • Partnered with business stakeholders to define requirements and design new Data Lake tables.

Certificates

This section shows all the certificates that I gathered

Azure Data Fundamentals

Azure

My first certificate, with many more to come.

Education

Below is my formal education and degree.

Bachelor's Degree in Systems Analysis and Development – UNICESUMAR

June 2022 – December 2024

My Projects

This section showcases my Data Engineering and Data Analysis projects so far. You can find more details about them on my GitHub.

Mercado Livre Web Scraping

This project aims to extract data on used smartphones from Mercado Livre to perform price-based analyses. Using Python and the Scrapy library, the data is extracted and transformed with Pandas, then loaded into a PostgreSQL database hosted on a Google Cloud cluster.

Registration System

This project aims to be a system for registering artists and contractors. It was developed in Python using the Streamlit library. The system includes a dashboard page integrated with Google Data Studio, allowing interactive and detailed data visualization.