[VERIFIED CASE STUDY]
Job Application Intelligence Pipeline
Imports job application sample data, validates records, persists applications, and records import evidence.
Business Problem
Application data often arrives as inconsistent files with no audit trail or repeatable scoring logic.
Workflow Purpose
Demonstrate local file intake, validation, scoring, PostgreSQL persistence, import-run tracking, and rejection handling.
Persistence Model
- job_applications
- job_import_runs
- job_import_rejections
Verified Counts
- 2 job application records
- 1 import run
- 0 rejections
Node Sequence
Read sample inputParse and validateScore fit signalsPersist applicationsRecord import runReturn evidence
Validation Logic
Required fields are checked before persistence; rejection handling is present even though the verified run had zero rejected rows.
Reliability Patterns
- Run audit table
- Deterministic sample data
- PostgreSQL row-count verification
- Sanitized release export
Security Model
- No live credentials in export
- Scoped file access
- Secret scan before publication
Lessons Learned
- Workflow evidence is stronger when persistence is queryable.
- Import runs make small demos easier to verify.
Downloads
The sample data proves execution and persistence; it is not a scale claim.