Automated Data Cleansing & ETL

Automated Data Cleansing & ETL Pipeline Engineering

Developed a robust automated Python pipeline designed to extract, clean, and structure unstructured web data into production-ready formats.

Key Technical Highlights: • Built custom data-cleaning scripts using Python 3.12 to strip HTML clutter, handle missing values, and normalize raw string fields. • Engineered schema-matching logic to map raw harvested data fields into structured target layouts cleanly. • Automated final pipeline exports into optimized spreadsheet models (CSV / XLSX format), removing manual data tracking workflows entirely.