Update README.md

README.md

@@ -8,16 +8,21 @@
         <img src="https://img.shields.io/badge/Maintained%3F-yes-green.svg" /></a>
     <a alt="PRs">
         <img src="https://img.shields.io/badge/Contributions-welcome-blueviolet" /></a>
+    <a alt="Fivetran Quickstart Compatible"
+        href="https://fivetran.com/docs/transformations/dbt/quickstart">
+        <img src="https://img.shields.io/badge/Fivetran_Quickstart_Compatible%3F-yes-green.svg" /></a>
 </p>
 
 # Shopify Source dbt Package ([Docs](https://fivetran.github.io/dbt_shopify_source/))
 # 📣 What does this dbt package do?
+<!--section="shopify_source_model"-->
 - Materializes [Shopify staging tables](https://fivetran.github.io/dbt_shopify_source/#!/overview/github_source/models/?g_v=1) which leverage data in the format described by [this ERD](https://fivetran.com/docs/applications/shopify/#schemainformation). These staging tables clean, test, and prepare your Shopify data from [Fivetran's connector](https://fivetran.com/docs/applications/shopify) for analysis by doing the following:
   - Name columns for consistency across all packages and for easier analysis
   - Adds freshness tests to source data
   - Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
 - Generates a comprehensive data dictionary of your Shopify data through the [dbt docs site](https://fivetran.github.io/dbt_shopify_source/).
 - These tables are designed to work simultaneously with our [Shopify transformation package](https://github.com/fivetran/dbt_shopify).
+<!--section-end-->
 
 # 🎯 How do I use the dbt package?
 ## Step 1: Prerequisites
@@ -181,4 +186,4 @@ We highly encourage and welcome contributions to this package. Check out [this d
 # 🏪 Are there any resources available?
 - If you have questions or want to reach out for help, please refer to the [GitHub Issue](https://github.com/fivetran/dbt_shopify_source/issues/new/choose) section to find the right avenue of support for you.
 - If you would like to provide feedback to the dbt package team at Fivetran or would like to request a new dbt package, fill out our [Feedback Form](https://www.surveymonkey.com/r/DQ7K7WW).
-- Have questions or want to just say hi? Book a time during our office hours [on Calendly](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) or email us at [email protected].
+- Have questions or want to be part of the community discourse? Create a post in the [Fivetran community](https://community.fivetran.com/t5/user-group-for-dbt/gh-p/dbt-user-group) and our team along with the community can join in on the discussion!