Update CHANGELOG.md

CHANGELOG.md

@@ -6,9 +6,6 @@
   - For help upgrading your dbt project to dbt v1.0.0, I recommend reviewing dbt-labs [upgrading to 1.0.0 docs](https://docs.getdbt.com/docs/guides/migration-guide/upgrading-to-1-0-0) for more details on what changes must be made.
 - Upgrades the package dependency to refer to the latest `dbt_linkedin_source`. Additionally, the latest `dbt_linkedin_source` package has a dependency on the latest `dbt_fivetran_utils`. Further, the latest `dbt_fivetran_utils` package also has a dependency on `dbt_utils` [">=0.8.0", "<0.9.0"].
   - Please note, if you are installing a version of `dbt_utils` in your `packages.yml` that is not in the range above then you will encounter a package dependency error.
-## For dbt Spark Users
-- The `dbt_linkedin_source` package (which this package has a dependency on) has a dependency on `spark-utils` [">=0.2.0", "<0.3.0"] which does not contain an official full dbt v1 compatibility release. As such, this release does not fully support dbt v1.0.0 for dbt spark users. 
- - Once the dbt v1.0.0 release of `spark-utils` is live, a `0.0.x` patch release will be applied to the source package for full spark dbt v1 compatiblity.
 
 # dbt_linkedin v0.1.0 -> v0.3.0
 Refer to the relevant release notes on the Github repository for specific details for the previous releases. Thank you!