Avalon - Synthetic FHIR R4 patient data as OMOP CDM 5.4 views
Free OMOP CDM views on BigQuery when healthcare researchers need PHI-free test data.

Automated FHIR-to-OMOP translation beats manual dbt modeling, but lacks Fivetran's broader connector library.
Health data engineers and analytics teams working with FHIR standards
dbt · Fivetran · Airbyte
I've open sourced two GitHub repos:
1. Forge-Core. This is the secret sauce. Automatically parse ANY json structure inside your own data warehouse by mapping your schema and building dbt models on the fly. Easy to set up and use. https://github.com/foxtrotcommunications/foxtrotcommunicatio...
2. Avalon-Public. Following the forge parse, use these dbt models to correctly and efficiently build your needed omop models. https://github.com/foxtrotcommunications/foxtrotcommunicatio...
Free OMOP CDM views on BigQuery when healthcare researchers need PHI-free test data.
Beats manual SQL macros at flattening nested JSON for dbt pipelines.
Automates nested JSON flattening for BigQuery and Snowflake better than manual dbt.
Catches silent data failures (schema drift, type mismatches) before pipelines break.
Scans package.json to recommend installable agent skills from the skills.sh ecosystem.
Schema becomes model architecture—no manual feature engineering for nested data.