by aiwithqasim · Claude Skill · ★ 55
CLOUD DATA ENGINEERING ⚠️ FOR FACULTY — GUIDELINES ON COURSE CONTENT Do not teach topics outside the defined scope of this roadmap. If you feel a topic is important or valuable for students, discuss and coordinate with Qasim first before introducing it in class. Do not modify, rename, or restructure any course content, file paths, or folder structure without prior approval. Any suggestions or improvements are welcome — but must go through discussion before being applied. Unauthorised changes to course material will not be accepted in Pull Requests.
| Stars | 55 |
| Forks | 135 |
| Language | Jupyter Notebook |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 63.9101534709598/100 |
| Last Updated | 2026-06-20 |
| Created | 2024-03-18 |
| Platforms | aws, claude-code, docker |
| Est. Tokens | ~20k |
These tools work well together with cloud-data-engineering for enhanced workflows:
Explore other popular claude skill tools:
cloud-data-engineering is This repository include the Roadmap for Cloud Data Engineering. It is categorized as a Claude Skill with 55 GitHub stars.
cloud-data-engineering is primarily written in Jupyter Notebook. It covers topics such as aws, azure, cicd.
You can find installation instructions and usage details in the cloud-data-engineering GitHub repository at github.com/aiwithqasim/cloud-data-engineering. The project has 55 stars and 135 forks, indicating an active community.
cloud-data-engineering is released under the MIT license, making it free to use and modify according to the license terms.