From Learning to Practice: Why I Decided to Stop Studying Privately and Start Sharing 🚀

​Hi everyone! 👋
​I’ve spent a long time immersed in courses, labs, and documentation. For months (and even years), my focus has been on absorbing as much as possible about Cloud Engineering, Data Analysis, and beyond. However, today I’ve made an important decision: to stop keeping my projects in local folders and start sharing them with the community.
​I’ve realized that the best way to grow isn’t just by studying, but by exposing my work to the eyes of other professionals—to receive feedback, improve, and hopefully help someone else on a similar path.
​🛠️ My first contribution: Data Processing
​Today, I’m sharing a repository I’ve been working on. It’s a tool designed to standardize and streamline data processing in Python, which is essential when seeking efficiency in Cloud environments.
​🌟 Why did I decide to publish it today?
​Validation: I want to know if the solutions I design follow industry best practices.
​Community: I firmly believe the developer ecosystem thrives when we share what we learn.
​Transparency: This marks the beginning of my public portfolio, showcasing my real evolution in technologies like AWS and GCP.
​💻 Explore the repository
​I invite you to check out the code, clone it, or even critique it (constructively, of course!). Any suggestions on how to optimize it are more than welcome.
​👉 Project URL: https://github.com/luiszuniga1990/data-processing.git