What's the most efficient way to handle data parsing for large datasets? or Struggling with messy dat

Detailed take:

Data parsing workflows *need* automation. Here’s my stack:
- pandas for general cleaning (fillna, drop_duplicates, etc.).
- regex for pattern-based fixes (seriously, learn regex if you haven’t).
- Trifacta Wrangler for GUI-based cleaning—great for non-coders.

Validation? I build data quality checks into the pipeline (e.g., “if nulls > 5%, alert me”). Tools like Monte Carlo can help automate this.