diff --git a/gooddata-pipelines/README.md b/gooddata-pipelines/README.md
index ce853649c..6d9d777f5 100644
--- a/gooddata-pipelines/README.md
+++ b/gooddata-pipelines/README.md
@@ -1,8 +1,8 @@
 # GoodData Pipelines
 
-A high level library for automating the lifecycle of GoodData Cloud (GDC).
+A high-level library for automating the lifecycle of GoodData Cloud (GDC).
 
-You can use the package to manage following resoursec in GDC:
+You can use the package to manage following resources in GDC:
 
 1. Provisioning (create, update, delete)
    - User profiles
@@ -14,7 +14,7 @@ You can use the package to manage following resoursec in GDC:
 1. _[PLANNED]:_ Custom fields management
    - extend the Logical Data Model of a child workspace
 
-In case you are not interested in incorporating a library in your own program, but would like to use a ready-made script, consider having a look at [GoodData Productivity Tools](https://github.com/gooddata/gooddata-productivity-tools).
+In case you are not interested in incorporating a library in your own program but would like to use a ready-made script, consider having a look at [GoodData Productivity Tools](https://github.com/gooddata/gooddata-productivity-tools).
 
 ## Provisioning
 
@@ -31,23 +31,20 @@ import os
 from csv import DictReader
 from pathlib import Path
 
-# Import the Entity Provisioner class and corresponing model from gooddata_pipelines library
+# Import the Entity Provisioner class and corresponding model from gooddata_pipelines library
 from gooddata_pipelines import UserFullLoad, UserProvisioner
+from gooddata_pipelines.logger.logger import LogObserver
 
-# Optional: you can set up logging and subscribe it to the Provisioner
-from utils.logger import setup_logging
-
-setup_logging()
+# Optionally, subscribe a standard Python logger to the LogObserver
+import logging
 logger = logging.getLogger(__name__)
+LogObserver().subscribe(logger)
 
 # Create the Provisioner instance - you can also create the instance from a GDC yaml profile
 provisioner = UserProvisioner(
     host=os.environ["GDC_HOSTNAME"], token=os.environ["GDC_AUTH_TOKEN"]
 )
 
-# Optional: subscribe to logs
-provisioner.logger.subscribe(logger)
-
 # Load your data from your data source
 source_data_path: Path = Path("path/to/some.csv")
 source_data_reader = DictReader(source_data_path.read_text().splitlines())
@@ -60,4 +57,4 @@ full_load_data: list[UserFullLoad] = UserFullLoad.from_list_of_dicts(
 provisioner.full_load(full_load_data)
 ```
 
-Ready made scripts covering the basic use cases can be found here in the [GoodData Productivity Tools](https://github.com/gooddata/gooddata-productivity-tools) repository
+Ready-made scripts covering the basic use cases can be found here in the [GoodData Productivity Tools](https://github.com/gooddata/gooddata-productivity-tools) repository
diff --git a/gooddata-pipelines/gooddata_pipelines/backup_and_restore/models/storage.py b/gooddata-pipelines/gooddata_pipelines/backup_and_restore/models/storage.py
index 64a6337a6..8ec1add43 100644
--- a/gooddata-pipelines/gooddata_pipelines/backup_and_restore/models/storage.py
+++ b/gooddata-pipelines/gooddata_pipelines/backup_and_restore/models/storage.py
@@ -1,7 +1,7 @@
 # (C) 2025 GoodData Corporation
 
 from enum import Enum
-from typing import Annotated, TypeAlias
+from typing import Annotated, TypeAlias, Optional
 
 import yaml
 from pydantic import BaseModel, Field
@@ -22,6 +22,9 @@ class S3StorageConfig(BaseModel):
     backup_path: str
     bucket: str
     profile: str = "default"
+    aws_access_key_id: Optional[str] = None
+    aws_secret_access_key: Optional[str] = None
+    aws_default_region: Optional[str] = None
 
 
 class LocalStorageConfig(BaseModel):
diff --git a/gooddata-pipelines/gooddata_pipelines/backup_and_restore/storage/s3_storage.py b/gooddata-pipelines/gooddata_pipelines/backup_and_restore/storage/s3_storage.py
index 051243e9d..2a30f40cf 100644
--- a/gooddata-pipelines/gooddata_pipelines/backup_and_restore/storage/s3_storage.py
+++ b/gooddata-pipelines/gooddata_pipelines/backup_and_restore/storage/s3_storage.py
@@ -21,8 +21,7 @@ def __init__(self, conf: BackupRestoreConfig):
             raise ValueError("S3 storage config is required")
 
         self._config = conf.storage
-        self._profile = self._config.profile
-        self._session = self._create_boto_session(self._profile)
+        self._session = self._create_boto_session(self._config)
         self._resource = self._session.resource("s3")
         self._bucket = self._resource.Bucket(self._config.bucket)  # type: ignore [missing library stubs]
         suffix = "/" if not self._config.backup_path.endswith("/") else ""
@@ -30,9 +29,25 @@ def __init__(self, conf: BackupRestoreConfig):
 
         self._verify_connection()
 
-    def _create_boto_session(self, profile: str) -> boto3.Session:
+    def _create_boto_session(self, config: S3StorageConfig) -> boto3.Session:
+        if config.aws_access_key_id and config.aws_secret_access_key:
+            if not config.aws_default_region:
+                self.logger.warning(
+                    "No AWS region specified. Defaulting to us-east-1."
+                )
+            try:
+                return boto3.Session(
+                    aws_access_key_id=config.aws_access_key_id,
+                    aws_secret_access_key=config.aws_secret_access_key,
+                    region_name=config.aws_default_region,
+                )
+            except Exception:
+                self.logger.warning(
+                    "Failed to create boto3 session with supplied credentials. Falling back to profile..."
+                )
+
         try:
-            return boto3.Session(profile_name=profile)
+            return boto3.Session(profile_name=config.profile)
         except Exception:
             self.logger.warning(
                 'AWS profile "[default]" not found. Trying other fallback methods...'