Financial Document ETL Pipeline
Automated ingestion and transformation of 500+ financial reports with layout-aware parsing and quality validation.
500+
Reports processed
0.816
Validation score
~40%
Faster reporting
Problem
Financial reports arrived as dense, unstructured PDFs — tables split across pages, inconsistent layouts, no machine-readable format. Analysts were spending hours manually extracting key metrics for reporting.
Approach
Built an automated ingestion pipeline that parsed layouts using high-resolution document parsing, preserved table structure and section boundaries, then transformed and stored data in a query-ready format with a dual-embedding validation strategy.
Outcome
Achieved a 0.816 data quality validation score across key financial metrics. Reduced analyst time spent on manual extraction and made 500+ reports available for downstream querying and dashboard reporting.
Data Pipeline
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