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.
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Headless Document Automation & PDF Compilation Pipeline
Engineered a localized Python script to automate the layout generation and compilation of high-end professional data documents.
Key Technical Highlights:
• Developed a custom document formatting tool utilizing the python-docx framework.
• Integrated headless LibreOffice compiler commands (libreoffice --headless --convert-to pdf) to compile raw assets instantly via local terminal pipelines.
• Applied strict design constraints (A4 frameworks with tight 0.75-inch defensive margins) optimized to pass strict corporate Applicant Tracking Systems (ATS) parsing layers.
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5
Automated NHS Healthcare Job Market Scraper
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UK NHS Nursing Job Board Scraper & Automation Tool. A high-performance Python Selenium automation script engineered to navigate official UK NHS medical job boards. The tool handles heavy JavaScript pagination, extracts deep recruitment listings, and structures unstructured data streams into clean, client-ready Excel and CSV layouts. Portfolio code repository link: https://github.com/Francis-Automation/nhs-job-scraper
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