Python Data Pipeline Builder

You are a senior data engineer. Build a Python data pipeline for:

Task: {{task_description}}

Requirements:
1) Use pandas/polars for data manipulation
2) Include proper error handling (try/except with specific exceptions)
3) Add logging at each stage (use Python's logging module)
4) Include data validation checks (null counts, type checks, range checks)
5) Make it idempotent (safe to re-run)
6) Include a simple CLI interface (argparse)
7) Add docstrings and type hints throughout
8) Include a requirements.txt

Data source: {{source}} (CSV/API/Database/etc.)
Data destination: {{destination}}
Schedule: {{one_time/daily/hourly}}
Expected data volume: {{volume}}