Repeatable reporting system
The pipeline is reframed as a market-intelligence reporting system. It collects fixture-backed Greenhouse and Lever records, normalizes and validates them, applies narrow enrichment, stores history in DuckDB, and exports market summaries, quality reports, run-over-run deltas, and an open-this-first report index.
What it proves
Turns fixture-backed source inputs into a repeatable intelligence report with source quality, history, run-over-run movement, and a reviewer-ready report index.
What it proves
Shows source adapters, validation, historical storage, manifests, DuckDB history, delta reporting, and report-index generation as one reviewable reporting workflow.
Impact
Problem
Job-market research is hard to compare when each run is a one-off scrape. A useful pipeline needs source normalization, validation, history, and clear report artifacts.
Approach
The project treats source collection, data quality, enrichment, historical storage, and report generation as separate stages. Fixture-backed demos keep the repository reviewable without depending on live scraping.
Current status
Public repository with tests, CI, Docker/package checks, an OpsForge module contract, a one-command two-run fixture demo, synthetic fixtures, report index, and report screenshots. It is the public reporting-system proof for the wider OpsForge Suite direction.
Architecture / workflow
Next steps
