DatriseAI-first ETL

Zenefits to Amazon DynamoDB Integration

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

How Datrise loads Zenefits into Amazon DynamoDB

Datrise syncs Zenefits's employees, departments, employments, time off requests, benefits enrollments, and compensation records into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

Zenefits: HR, benefits, and payroll administration.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Zenefits entities map to Amazon DynamoDB

Zenefits entityAmazon DynamoDB objectNotes
employeeszenefits_employeesid PK · custom fields → nested map/list attributes
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 Amazon DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the Zenefits to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

Early access

Connect Zenefits to Amazon DynamoDB the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.