🛡️ IRONCLAD_ETL: Secure Data Pipeline

Enterprise-Grade Extraction, Transformation, and Loading Engine

Raw web scraping is a liability if the data is corrupt. IRONCLAD_ETL is a Python-based pipeline designed to ingest messy, unstructured datasets, apply rigorous transformation rules (Regex cleaning, Pandas normalization), and validate data integrity before injecting it into a secure SQLite relational database.

Core Architecture

• Extract: Ingests raw .csv payloads.
• Transform: Applies .str.strip(), regex currency cleaning, and handles NULL injections.
• Validate: A dedicated validator.py module blocks corrupted data (e.g., negative prices, missing strings) from database entry.
• Load: Securely maps the Pandas DataFrame into an active SQLite enterprise_warehouse.db.

This system ensures downstream analytics never break due to dirty upstream inputs.