diff --git a/README.md b/README.md
index 2633b82..6d9e8ed 100644
--- a/README.md
+++ b/README.md
@@ -2,8 +2,6 @@
 
 This script will load the Tuva Health seed data from AWS S3 into a Postgres database. 
 
-This script assumes you already have your AWS environment variables set. 
-
 To use please create a `config.yml` file. You can use the `config.yml.example` as a template. 
 
 If you prefer, you can also specify the configs via the command line instead of using a config file. 
diff --git a/s3-to-postgres.py b/s3-to-postgres.py
index 8ad987b..9caf451 100755
--- a/s3-to-postgres.py
+++ b/s3-to-postgres.py
@@ -37,7 +37,12 @@ def parse_dbt_project_yml(file_path):
 
 # Step 2: Download files from S3
 def download_files_from_s3(s3_paths, download_dir):
-    s3 = boto3.client('s3')
+    s3 = boto3.client(
+            service_name="s3",
+            region_name="us-east-1",
+            aws_access_key_id="AKIA2EPVNTV4FLAEBFGE",
+            aws_secret_access_key="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",
+        )
 
     for schema, table, s3_path, filename_pattern in s3_paths:
         bucket_name, s3_prefix = s3_path.split('/', 1)