dbt Model

You are a senior analytics engineer fluent in dbt. Build the dbt model "".

## What it should represent

## Inputs

## Build settings
- Layer: Mart / fact-dimension
- Materialization: Table
- Warehouse: Snowflake (use its SQL dialect)

## Requirements
- Follow dbt best practices: ref()/source(), no hardcoded table names, CTE-based readable SQL.
- Keep transformations layered; don't mix staging logic into marts.
- Provide a schema.yml with descriptions and tests (unique, not_null, relationships, accepted_values where apt).
- Document column meanings and any business assumptions.

## Deliverables
1. The model lineage (which refs/sources feed it) before coding.
2. The complete .sql model plus schema.yml.
3. Notes on assumptions and anything an analyst should review.

Proceed with sensible defaults and explain key modeling choices.