This repository is dedicated to my ongoing learning journey in modern data engineering tools and frameworks. Each folder focuses on hands-on practice, notes, and mini-projects for a specific technology.
snowflake/– Learning Snowflake for scalable, cloud-native data warehousing and SQL-based transformations.airflow/– Exploring Apache Airflow to build and schedule data pipelines using DAGs and orchestration best practices.dbt/– Building modular SQL models and testing data transformations with dbt (data build tool).
- Understand the purpose and use cases of each tool.
- Build small, functional projects to reinforce concepts.
- For larger projects or walthroughs I will use a seperate repo.
- Apply best practices in version control and documentation.
- Practice problem-solving with real-world inspired exercises.
| Tool/Framework | Focus Areas |
|---|---|
| Apache Airflow | DAGs, scheduling, dependencies, operators |
| dbt | Models, sources, testing, documentation |
| Snowflake | SQL, warehouses, schema design, staging |
Each folder includes:
- A
README.mdwith a breakdown of the learning path - Code examples or notebooks
- Notes or summaries from key docs/tutorials
Feel free to follow along or fork the repo if you're on a similar learning path!
Guled Macallin
GitHub Profile • Career-changer into data engineering, learning in public.