Data pipeline that transforms raw Excel transaction logs into clean executive-ready business reports automatically.
Challenge 1
Handling messy, inconsistent raw data formats from disparate input files.
Solution
Developed a robust data normalization pipeline using pandas to standardize and clean data types before aggregation.
Challenge 2
Processing and aggregating large volumes of transaction data without impacting performance.
Solution
Optimized dataframe processing using vectorized pandas operations for near-instant aggregation.
Challenge 3
Generating professional, readable Excel reports for non-technical stakeholders.
Solution
Leveraged `xlsxwriter` to programmatically apply conditional formatting, headers, and visual styles to report outputs.




Advanced pandas, business reporting, professional data presentation