feat: add loaders and dbt models for Toronto housing data
Sprint 4 implementation:
Loaders:
- base.py: Session management, bulk insert, upsert utilities
- dimensions.py: Load time, district, zone, neighbourhood, policy dimensions
- trreb.py: Load TRREB purchase data to fact_purchases
- cmhc.py: Load CMHC rental data to fact_rentals
dbt Project:
- Project configuration (dbt_project.yml, packages.yml)
- Staging models for all fact and dimension tables
- Intermediate models with dimension enrichment
- Marts: purchase analysis, rental analysis, market summary
Closes #16
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
lmiranda
457bb49395