diff --git a/docs/integrations/delta-lake-dagster.md b/docs/integrations/delta-lake-dagster.md
index 0fe413c7a0..3aa5a505a6 100644
--- a/docs/integrations/delta-lake-dagster.md
+++ b/docs/integrations/delta-lake-dagster.md
@@ -212,7 +212,7 @@ def iris_dataset() -> pd.DataFrame:
 ```
 
 ## Using Delta Lake and Dagster with Polars
-To read and write data to Delta Lake using pandas, use the `DeltaLakePolarsIOManager()`. 
+To read and write data to Delta Lake using polars, use the `DeltaLakePolarsIOManager()`. 
 
 You will need to install it using:
 
@@ -223,7 +223,7 @@ pip install dagster-deltalake-polars
 In your `Definitions` object, change the `io_manager` to `DeltaLakePolarsIOManager()`:
 
 ```
-from dagster_polars import DeltaLakePolarsIOManager
+from dagster_deltalake_polars import DeltaLakePolarsIOManager
 
 defs = Definitions(
    assets=all_assets,
diff --git a/python/deltalake/schema.py b/python/deltalake/schema.py
index 8bc5c7e155..2008c43de0 100644
--- a/python/deltalake/schema.py
+++ b/python/deltalake/schema.py
@@ -95,6 +95,8 @@ def dtype_to_delta_dtype(dtype: pa.DataType) -> pa.DataType:
                 return pa.timestamp("us", "UTC")
         elif type(dtype) is pa.FixedSizeBinaryType:
             return pa.binary()
+        elif isinstance(dtype, pa.ExtensionType):
+            return dtype.storage_type
         try:
             return dtype_map[dtype]
         except KeyError:
diff --git a/python/stubs/pyarrow/__init__.pyi b/python/stubs/pyarrow/__init__.pyi
index e500d11191..31943db8b8 100644
--- a/python/stubs/pyarrow/__init__.pyi
+++ b/python/stubs/pyarrow/__init__.pyi
@@ -14,6 +14,7 @@ FixedSizeListType: Any
 LargeListViewType: Any
 ListViewType: Any
 FixedSizeBinaryType: Any
+ExtensionType: Any
 schema: Any
 map_: Any
 list_: Any
diff --git a/python/tests/test_schema.py b/python/tests/test_schema.py
index a3ad6b62e1..34c833eb17 100644
--- a/python/tests/test_schema.py
+++ b/python/tests/test_schema.py
@@ -223,6 +223,26 @@ def test_delta_schema():
     assert schema_without_metadata == Schema.from_pyarrow(pa_schema)
 
 
+def _generate_test_type():
+    class UuidType(pa.ExtensionType):
+        def __init__(self):
+            pa.ExtensionType.__init__(self, pa.binary(16), "my_package.uuid")
+
+        def __arrow_ext_serialize__(self):
+            # since we don't have a parameterized type, we don't need extra
+            # metadata to be deserialized
+            return b""
+
+        @classmethod
+        def __arrow_ext_deserialize__(self, storage_type, serialized):
+            # return an instance of this subclass given the serialized
+            # metadata.
+            return UuidType()
+
+    pa.register_extension_type(UuidType())
+    return UuidType()
+
+
 def _generate_test_tuples():
     test_tuples = [
         (
@@ -515,6 +535,11 @@ def _generate_test_tuples():
             ),
             ArrowSchemaConversionMode.NORMAL,
         ),
+        (
+            pa.schema([("uuid", _generate_test_type())]),
+            pa.schema([("uuid", pa.binary(16))]),
+            ArrowSchemaConversionMode.NORMAL,
+        ),
     ]
 
     return test_tuples