BWOWelcome to my professional development journey! This is where I document my progress as I expand my skillset into data engineering to enhance my broadcast infrastructure expertise.
Follow Along
I’m documenting this professional development journey transparently - sharing both successes and challenges. These skills will directly enhance my current work in broadcast infrastructure while building a foundation in modern data engineering practices.
🚀 DE Learning Projects
Beyond Codecademy coursework, I’m building real projects every month to solidify my skills. These hands-on projects follow a 10-month curriculum culminating in a capstone project.
Repository: DE-Learning-Projects
Curriculum Overview
| Month | Theme | Projects | Focus |
|---|---|---|---|
| Jan | Docker Foundations | 3 | Containers, PostgreSQL, data loading |
| Feb | Airflow Orchestration | 3 | DAGs, error handling, pipelines |
| Mar | dbt Transformations | 3 | Data modeling, testing, docs |
| Apr | Scaling & Cloud | 3 | PySpark, Kubernetes, portfolio polish |
| May | Capstone | 1 | Fukuoka Weather ETL - production quality |
Current Progress
Check the individual project posts below for detailed writeups on each completed project.