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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.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Related posts
Income & Expense Control | Excel Dashboard
I developed a professional Excel dashboard as a portfolio practice project to demonstrate my skills in financial data management, income and expense tracking, and business reporting.
Project Features:
Automated income and expense calculations.
Financial dashboard with key performance indicators (KPIs).
Transaction tracking and organization.
Expense analysis by category.
Financial charts and visual reporting.
Net income calculation.
Project Results (Sample Data):
Total Income: $46,200
Total Expenses: $9,090
Net Result: $37,110
Tools: Microsoft Excel
Skills: Data Analysis, Accounting, Financial Reporting, Data Entry.
This project demonstrates my ability to organize financial records, analyze business performance, and create clear financial reports using Microsoft Excel.
Note: This is a portfolio demonstration using fictional financial data.
Great work 👏🏻
