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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Home Page: https://airflow.apache.org/

License: Apache License 2.0

Shell 2.04% JavaScript 0.83% Python 92.99% R 0.01% TypeScript 2.29% CSS 0.64% HTML 0.70% Mako 0.01% HCL 0.02% Jupyter Notebook 0.02% Dockerfile 0.30% Jinja 0.16%

airflow's Introduction

👋 Hi there! I'm a passionate Data & Machine Learning Engineer who thrives on the excitement of solving complex data and ML-related challenges. My journey is fueled by an insatiable curiosity and a love for continuous learning 💛💥.

I’m always eager to learn something new 👐, whether it's a cutting-edge ML technique, a novel approach to data engineering, or an entirely new field. I’m open to exploring new opportunities 😎, collaborating on exciting ML projects, and engaging in thought-provoking conversations.

Outside of the tech world, I'm a huge fan of basketball 🏀 (#Dubnation) and tennis 🎾.

Let's connect, collaborate, and create something amazing together! 🚀

Let's connect

You can find me on Twitter, or on LinkedIn.

airflow's People

Contributors

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