diff --git a/dags/bcts_apply_grants.py b/dags/bcts_apply_grants.py
new file mode 100644
index 0000000..698f2a5
--- /dev/null
+++ b/dags/bcts_apply_grants.py
@@ -0,0 +1,77 @@
+from airflow import DAG
+from pendulum import datetime
+from kubernetes import client
+from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator
+from airflow.providers.cncf.kubernetes.secret import Secret
+from datetime import timedelta
+import os
+
+LOB = 'lrm'
+# For local development environment only.
+ENV = os.getenv("AIRFLOW_ENV")
+
+ods_secrets = Secret("env", None, f"{LOB}-ods-database")
+
+if ENV == 'LOCAL':
+    default_args = {
+        'owner': 'BCTS',
+        "email": ["sreejith.munthikodu@gov.bc.ca"],
+        'retries': 2,
+        'retry_delay': timedelta(minutes=5),
+        "email_on_failure": False, # No alerts in local environment
+        "email_on_retry": False,
+    }
+else:
+    default_args = {
+        'owner': 'BCTS',
+        "email": ["sreejith.munthikodu@gov.bc.ca"],
+        'retries': 2,
+        'retry_delay': timedelta(minutes=5),
+        "email_on_failure": True,
+        "email_on_retry": False,
+    }
+
+with DAG(
+    start_date=datetime(2024, 11, 23),
+    catchup=False,
+    schedule='0 5 * * MON-FRI',
+    dag_id=f"apply-grants-{LOB}",
+    default_args=default_args,
+    description='DAG to apply grants to BCTS data in ODS',
+) as dag:
+    
+    if ENV == 'LOCAL':
+
+        run_replication = KubernetesPodOperator(
+            task_id=f"apply_{LOB}_grants",
+            image="nrids-bcts-data-pg-access:main",
+            cmds=["python3", "./bcts_acces_apply_grants.py"],
+            # Following configs are different in the local development environment
+            # image_pull_policy="Always",
+            # in_cluster=True,
+            # service_account_name="airflow-admin",
+            name=f"apply_{LOB}_access_grants",
+            labels={"DataClass": "Medium", "ConnectionType": "database",  "Release": "airflow"},
+            is_delete_operator_pod=True,
+            secrets=[ods_secrets],
+            container_resources= client.V1ResourceRequirements(
+            requests={"cpu": "50m", "memory": "512Mi"},
+            limits={"cpu": "100m", "memory": "1024Mi"})
+        )
+    else:
+        # In Dev, Test, and Prod Environments
+        run_replication = KubernetesPodOperator(
+            task_id=f"export_{LOB}_grants",
+            image="ghcr.io/bcgov/nr-dap-ods-bcts-pg-access:main",
+            cmds=["python3", "./bcts_acces_apply_grants.py"],
+            image_pull_policy="Always",
+            in_cluster=True,
+            service_account_name="airflow-admin",
+            name=f"apply_{LOB}_access_grants",
+            labels={"DataClass": "Medium", "ConnectionType": "database",  "Release": "airflow"},
+            is_delete_operator_pod=True,
+            secrets=[ods_secrets],
+            container_resources= client.V1ResourceRequirements(
+            requests={"cpu": "50m", "memory": "512Mi"},
+            limits={"cpu": "100m", "memory": "1024Mi"})
+        )
\ No newline at end of file
diff --git a/dags/bcts_export_grants_master_file.py b/dags/bcts_export_grants_master_file.py
new file mode 100644
index 0000000..6b58482
--- /dev/null
+++ b/dags/bcts_export_grants_master_file.py
@@ -0,0 +1,77 @@
+from airflow import DAG
+from pendulum import datetime
+from kubernetes import client
+from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator
+from airflow.providers.cncf.kubernetes.secret import Secret
+from datetime import timedelta
+import os
+
+LOB = 'lrm'
+# For local development environment only.
+ENV = os.getenv("AIRFLOW_ENV")
+
+ods_secrets = Secret("env", None, f"{LOB}-ods-database")
+
+if ENV == 'LOCAL':
+    default_args = {
+        'owner': 'BCTS',
+        "email": ["sreejith.munthikodu@gov.bc.ca"],
+        'retries': 2,
+        'retry_delay': timedelta(minutes=5),
+        "email_on_failure": False, # No alerts in local environment
+        "email_on_retry": False,
+    }
+else:
+    default_args = {
+        'owner': 'BCTS',
+        "email": ["sreejith.munthikodu@gov.bc.ca"],
+        'retries': 2,
+        'retry_delay': timedelta(minutes=5),
+        "email_on_failure": True,
+        "email_on_retry": False,
+    }
+
+with DAG(
+    start_date=datetime(2024, 11, 23),
+    catchup=False,
+    schedule=None,
+    dag_id=f"export-grants-{LOB}",
+    default_args=default_args,
+    description='DAG to export the grants master file to ODS',
+) as dag:
+    
+    if ENV == 'LOCAL':
+
+        run_replication = KubernetesPodOperator(
+            task_id=f"export_{LOB}_grants",
+            image="nrids-bcts-data-pg-access:main",
+            cmds=["python3", "./bcts_access_export_master_file.py"],
+            # Following configs are different in the local development environment
+            # image_pull_policy="Always",
+            # in_cluster=True,
+            # service_account_name="airflow-admin",
+            name=f"export_{LOB}_access_grants",
+            labels={"DataClass": "Medium", "ConnectionType": "database",  "Release": "airflow"},
+            is_delete_operator_pod=True,
+            secrets=[ods_secrets],
+            container_resources= client.V1ResourceRequirements(
+            requests={"cpu": "50m", "memory": "512Mi"},
+            limits={"cpu": "100m", "memory": "1024Mi"})
+        )
+    else:
+        # In Dev, Test, and Prod Environments
+        run_replication = KubernetesPodOperator(
+            task_id=f"export_{LOB}_grants",
+            image="ghcr.io/bcgov/nr-dap-ods-bcts-pg-access:main",
+            cmds=["python3", "./bcts_access_export_master_file.py"],
+            image_pull_policy="Always",
+            in_cluster=True,
+            service_account_name="airflow-admin",
+            name=f"export_{LOB}_access_grants",
+            labels={"DataClass": "Medium", "ConnectionType": "database",  "Release": "airflow"},
+            is_delete_operator_pod=True,
+            secrets=[ods_secrets],
+            container_resources= client.V1ResourceRequirements(
+            requests={"cpu": "50m", "memory": "512Mi"},
+            limits={"cpu": "100m", "memory": "1024Mi"})
+        )
\ No newline at end of file
diff --git a/dags/bcts_lrm_annual_developed_volume_transformations.py b/dags/bcts_lrm_annual_developed_volume_transformations.py
new file mode 100644
index 0000000..70687f1
--- /dev/null
+++ b/dags/bcts_lrm_annual_developed_volume_transformations.py
@@ -0,0 +1,80 @@
+from airflow import DAG
+from pendulum import datetime
+from kubernetes import client
+from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator
+from airflow.providers.cncf.kubernetes.secret import Secret
+from datetime import timedelta
+import os
+
+LOB = 'lrm'
+sql_file_path = './Annual_Developed_Volume_Query.sql'
+# For local development environment only.
+ENV = os.getenv("AIRFLOW_ENV")
+
+ods_secrets = Secret("env", None, f"{LOB}-ods-database")
+
+if ENV == 'LOCAL':
+    default_args = {
+        'owner': 'BCTS',
+        "email": ["sreejith.munthikodu@gov.bc.ca"],
+        'retries': 2,
+        'retry_delay': timedelta(minutes=5),
+        "email_on_failure": False, # No alerts in local environment
+        "email_on_retry": False,
+    }
+else:
+    default_args = {
+        'owner': 'BCTS',
+        "email": ["sreejith.munthikodu@gov.bc.ca"],
+        'retries': 2,
+        'retry_delay': timedelta(minutes=5),
+        "email_on_failure": True,
+        "email_on_retry": False,
+    }
+
+with DAG(
+    start_date=datetime(2024, 11, 23),
+    catchup=False,
+    schedule='0 5 * * MON-FRI',
+    dag_id=f"transformations-{LOB}",
+    default_args=default_args,
+    description='DAG to run the transformations in ODS for BCTS Annual Developed Volume Dashboard',
+) as dag:
+    
+    if ENV == 'LOCAL':
+
+        run_replication = KubernetesPodOperator(
+            task_id="run_transformation",
+            image="nrids-bcts-data-pg-transformations:main",
+            cmds=["python3", "./bcts_etl.py"],
+            arguments=[sql_file_path],
+            # Following configs are different in the local development environment
+            # image_pull_policy="Always",
+            # in_cluster=True,
+            # service_account_name="airflow-admin",
+            name=f"run_{LOB}_transformation_annual_developed_volume",
+            labels={"DataClass": "Medium", "ConnectionType": "database",  "Release": "airflow"},
+            is_delete_operator_pod=True,
+            secrets=[ods_secrets],
+            container_resources= client.V1ResourceRequirements(
+            requests={"cpu": "50m", "memory": "512Mi"},
+            limits={"cpu": "100m", "memory": "1024Mi"})
+        )
+    else:
+        # In Dev, Test, and Prod Environments
+        run_replication = KubernetesPodOperator(
+            task_id="run_replication",
+            image="ghcr.io/bcgov/nr-dap-ods-pg-transformations:main",
+            cmds=["python3", "./bcts_etl.py"],
+            arguments=[sql_file_path],
+            image_pull_policy="Always",
+            in_cluster=True,
+            service_account_name="airflow-admin",
+            name=f"run_{LOB}_transformation_annual_developed_volume",
+            labels={"DataClass": "Medium", "ConnectionType": "database",  "Release": "airflow"},
+            is_delete_operator_pod=True,
+            secrets=[ods_secrets],
+            container_resources= client.V1ResourceRequirements(
+            requests={"cpu": "50m", "memory": "512Mi"},
+            limits={"cpu": "100m", "memory": "1024Mi"})
+        )
\ No newline at end of file
diff --git a/dags/bcts_lrm_forest.py b/dags/bcts_lrm_forest_replication.py
similarity index 87%
rename from dags/bcts_lrm_forest.py
rename to dags/bcts_lrm_forest_replication.py
index 250b09f..bd175e5 100644
--- a/dags/bcts_lrm_forest.py
+++ b/dags/bcts_lrm_forest_replication.py
@@ -7,7 +7,7 @@
 import os
 
 LOB = 'lrm'
-# For local development environment.
+# For local development environment only.
 ENV = os.getenv("AIRFLOW_ENV")
 
 ods_secrets = Secret("env", None, f"{LOB}-ods-database")
@@ -33,7 +33,7 @@
     }
 
 with DAG(
-    start_date=datetime(2024, 11, 22),
+    start_date=datetime(2024, 11, 23),
     catchup=False,
     schedule='0 4 * * MON-FRI',
     dag_id=f"replication-pipeline-{LOB}",
@@ -46,6 +46,10 @@
         run_replication = KubernetesPodOperator(
             task_id="run_replication",
             image="nrids-bcts-data-ora2pg:main",
+            # Following configs are different in the local development environment
+            # image_pull_policy="Always",
+            # in_cluster=True,
+            # service_account_name="airflow-admin",
             name=f"run_{LOB}_replication",
             labels={"DataClass": "Medium", "ConnectionType": "database",  "Release": "airflow"},
             is_delete_operator_pod=True,