Data & AI

Reverse ETL Data Flow

Data & AI Pipelines diagram · made in Skemio

Architecture diagram showing production DB and Kafka feeding a Snowflake warehouse with dbt models, synced via a Reverse ETL engine to Salesforce, Zendesk, and Marketo.
Architecture diagram showing production DB and Kafka feeding a Snowflake warehouse with dbt models, synced via a Reverse ETL engine to Salesforce, Zendesk, and Marketo.
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What it shows

  • Traditional ETL loads data into warehouses; Reverse ETL pushes it out.
  • Sync engines map modeled SQL models directly to third-party CRM APIs.
  • Handles rate limiting, retries, and schema drift automatically.

The takeaway

Reverse ETL turns your analytical warehouse into an operational engine for business teams.

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