Skip to content
View gquintal's full-sized avatar
2 followers · 29 following
  • 15:30 (UTC -06:00)

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Block or report gquintal

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 250 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
gquintal/README.md

Hi there, I'm Guadalupe Quintal 👋

Welcome to my GitHub profile! I'm a passionate developer and tech enthusiast who loves to work on exciting projects, learn new technologies, and contribute to open-source communities. Here's a little about me:

🚀 About Me

  • 💻 I specialize in Database Developer, Backend Developer, Azure Data Engineer, Cloud Engineer and DevOps Engineer
  • 🌱 Currently learning Cybersecurity and Amazon AWS
  • 🔭 Currently working on: Personal and Freelance Cloud Projects
  • 🎯 Goal: Contribute to open-source projects in 2025

🛠️ Technologies & Tools

  • Programming Languages: Python, Java, SQL, PySpark, C++ and C#
  • Frameworks & Libraries: Spring Boot, Node.js

🗺️ Likes and Special Interests

✈️  Travel
🐕  Pets
🧑‍💻  Code
🎞️  Series
🎬  Movies

Tools & Platforms

SQLServer SpringB Azure Amazon python Pandas AzureDevOps github Actions Docker Twilio MySQL PostgreSQL C# Git Jira Jupyter Postman Swagger Colab VSCode Databricks

📈 GitHub Stats

Guadalupe's GitHub stats

🤝 Let's Connect

Thanks for stopping by! Let's build something amazing together. 🚀

Pinned Loading

  1. data-ingester data-ingester Public

    Repositorio para la ingesta automatizada de datasets obtenidos mediante un API hacia Azure Data Lake Storage Gen2, utilizando scripts en Python ejecutados a través de GitHub Actions. Incluyendo la …

    Jupyter Notebook

  2. etl_users_project etl_users_project Public

    Proceso ETL desarrollado en Python que extrae datos de usuarios desde la API pública, los transforma aplicando reglas de validación y limpieza, y los carga en un archivo CSV.

    Python

  3. Portafolio Portafolio Public