DatriseAI-first ETL

Zenefits to CSV Files Integration

AI-first ETL from Zenefits into CSV Files. Governed entities, incremental sync, typed landing tables.

How Datrise loads Zenefits into CSV Files

Datrise syncs Zenefits's employees, departments, employments, time off requests, benefits enrollments, and compensation records into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

Zenefits: HR, benefits, and payroll administration.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Zenefits entities map to CSV Files

Zenefits entityCSV Files objectNotes
employeeszenefits_employeesid PK · custom fields → JSON-encoded strings for nested fields
departmentszenefits_departmentsid PK · linked to zenefits_employees
employmentszenefits_employmentsid PK · linked to zenefits_employees
time off requestszenefits_time_off_requestsid PK · linked to zenefits_employees

FAQ

How does Datrise handle Zenefits's custom fields in CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the Zenefits to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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