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Reverse ETL to Attio

Blog post from dltHub

Post Details
Company
Date Published
Author
Aman Gupta, Data Engineer
Word Count
1,652
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

A dltHub tutorial demonstrates a reverse ETL workflow that converts hiring activity into sales-ready CRM records by collecting Customer Success Manager job postings from Arbeitnow, enriching associated companies and decision-makers through People Data Labs, and sending the results from DuckDB to Attio. Built with dltHub AI Harness, the pipeline uses a REST API source with incremental loading and filtering, avoids repeated enrichment costs by checking previously enriched company domains, and handles Attio’s differing record semantics through domain-based company upserts and LinkedIn-URL-based person update-or-create logic. The example emphasizes the flexibility of custom dlt destinations over no-code reverse ETL tools, allowing source ingestion, transformation logic, storage, and CRM synchronization to remain in a single version-controlled codebase. It also notes that a canonical data model may become useful when multiple sources or destinations require shared company and person definitions.

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