diff --git a/dags/dbt_orchestration.py b/dags/dbt_orchestration.py
new file mode 100644
index 0000000..5c217c6
--- /dev/null
+++ b/dags/dbt_orchestration.py
@@ -0,0 +1,46 @@
+from client_list import clients
+from airflow.decorators import dag, task
+from airflow.models import Variable
+from data_utils.github_helper import get_github_token, trigger_workflow
+from data_utils.alerting.alerting import task_failed
+import pendulum
+
+# Common variables
+github_token = get_github_token()
+env = Variable.get("environment")
+default_args = {"owner": "airflow", "start_date": pendulum.datetime(2024, 11, 11, tz="UTC")}
+
+
+def create_dbt_orchestration_dag(client_name):
+    @dag(
+        dag_id=f"dbt_orchestration_{client_name}",  # Ensure unique dag_id
+        default_args=default_args,
+        schedule=None,
+        catchup=False,
+        on_failure_callback=task_failed
+    )
+    def dbt_orchestration():
+
+        # Define GitHub action trigger
+        @task(task_id=f'trigger_github_action_{client_name}')
+        def trigger_github_action():
+            """
+            Trigger a GitHub action for the client.
+            """
+            trigger_workflow(f'{client_name}_models_run_{env}.yml', token=github_token)
+
+ 
+        # Trigger GitHub action
+        github_action = trigger_github_action()
+
+        github_action
+
+    return dbt_orchestration()
+
+
+enabled = Variable.get("dbt_orchestration_enabled")
+
+if enabled == "True":
+    # Dynamically generate DAGs for all clients
+    for client in clients:
+        globals()[f"dbt_orchestration_{client}"] = create_dbt_orchestration_dag(client_name=client)
diff --git a/dags/meta_dbt_orchestration.py b/dags/meta_dbt_orchestration.py
new file mode 100644
index 0000000..127481f
--- /dev/null
+++ b/dags/meta_dbt_orchestration.py
@@ -0,0 +1,18 @@
+import pendulum
+
+from client_list import clients
+from data_utils.dags_utils.orchestration_utils import create_orchestration_dag
+
+default_args = {
+    'owner': 'airflow',
+    'retries': 1,
+}
+
+dag_id = 'meta_dbt_orchestration'
+description = 'Orchestrator DAG for managing client GA DAGs sequentially'
+schedule_interval = None  # Trigger manually
+start_date = pendulum.datetime(2024, 11, 11, tz="UTC")
+
+dbt_orchestration_dags = clients_prefixed = [f"dbt_orchestration_{client}" for client in clients]
+
+dag = create_orchestration_dag(dag_id, description, schedule_interval, start_date, dbt_orchestration_dags)