Lever to Yellowfin Integration
AI-first ETL from Lever into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Lever into Yellowfin
Datrise syncs Lever's candidates, opportunities, postings, interviews, offers, and feedback forms into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Lever: Applicant tracking and candidate relationship management.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Lever entities map to Yellowfin
| Lever entity | Yellowfin object | Notes |
|---|---|---|
| candidates | lever_candidates | id PK · custom fields → flattened columns |
| opportunities | lever_opportunities | id PK · linked to lever_candidates |
| postings | lever_postings | id PK · linked to lever_candidates |
| interviews | lever_interviews | id PK · linked to lever_candidates |
FAQ
How does Datrise handle Lever's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Lever to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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