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n8n templateFreeBy Muh Resky Adiansyah

Sync Salesforce leads and opportunities to PostgreSQL with backfill and incremental ETL

Salesforce Leads & Opportunities to PostgreSQL (Backfill & Incremental Sync ETL) This workflow extracts Lead and Opportunity data from Salesforce, transforms and normalizes the data, and loads it into PostgreSQL as a ...

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Salesforce Leads & Opportunities to PostgreSQL (Backfill & Incremental Sync ETL)

This workflow extracts Lead and Opportunity data from Salesforce, transforms and normalizes the data, and loads it into PostgreSQL as a structured data bank for reporting and analytics.

It is designed for scalable data ingestion and supports both historical backfill and incremental sync in a single workflow.

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Use Case

This workflow is suitable when you need to:

- Centralize Salesforce data into a database for reporting - Build a data warehouse for BI tools (Looker Studio, Metabase, etc.) - Track lead-to-opportunity lifecycle - Merge multiple Salesforce objects into a unified dataset - Maintain a clean and normalized CRM data layer

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