Refactor naming conventions for DAGs, operators and modules

[MechaelDodo]

Context

The project previously used inconsistent naming conventions:

• Mixed singular and plural forms (e.g. characters vs character)
• Redundant rick_morty_ prefixes in DAGs and Python modules

This affected readability, searchability, and Airflow UI visualization.

Changes

1. Removed redundant prefixes

• Removed rick_morty_ prefix from:
  • DAG files
  • Operator modules
  • Python files

Example:

• rick_morty_character_raw.py → character_raw.py

2. Standardized naming to singular form

• Unified entity names to singular form across the project:
  • character instead of characters
  • location instead of locations
  • episode instead of episodes

3. Improved consistency

• Updated imports after file renaming
• Ensured DAG IDs match file naming
• Kept structure aligned across raw, staging, and DWH layers

Result

• Cleaner Airflow UI (shorter DAG names)
• Improved project consistency
• Easier navigation and search across the codebase
• Reduced cognitive load when working with entities

Breaking Changes

• Renamed DAG files
• Renamed operator modules
• Updated imports across the project

Testing

• Verified DAGs load successfully in Airflow
• Confirmed no broken imports
• Confirmed all pipelines execute correctly

[MechaelDodo]

ok nice