I’m kicking off Phase 1 of a Document Intelligence initiative and need a developer—or a small team—who already speaks Azure Foundry fluently. Using Azure AI Foundry’s Document Intelligence and Content Understanding models, I want to pull transaction data from multiple statement types—bank, credit-card, and investment—then funnel everything into a single customer-level general ledger. Scope of this phase • Build and tune Document Intelligence and Content Understanding schemas (I’ll supply a provisional licence) to accurately read the three statement types. • Create a clean ETL pipeline in Python that extracts, normalises, cleanses, and deduplicates the data on its way into the ledger. • Expose the flow via secure REST APIs that bridge the source models, target storage, and any downstream services. • Add lightweight workflow automation so the process self-triggers on new uploads and returns validation results. Must-have experience • Azure Foundry—Content Understanding & Document Intelligence • JSON parsing and Python data wrangling • ETL best practices around validation, cleansing, and deduplication • Designing production-ready APIs and automations Acceptance I’ll consider the phase complete when a sample statement set runs end-to-end, populates the ledger without duplicates, and returns automated validation reports. If you’ve tackled similar financial-document work and can start soon, let’s talk.