diff --git a/doc/source/whatsnew/v1.5.0.rst b/doc/source/whatsnew/v1.5.0.rst
index fa19a49b7ff45..5c36bd83adcce 100644
--- a/doc/source/whatsnew/v1.5.0.rst
+++ b/doc/source/whatsnew/v1.5.0.rst
@@ -232,6 +232,8 @@ I/O
 ^^^
 - Bug in :meth:`DataFrame.to_stata` where no error is raised if the :class:`DataFrame` contains ``-np.inf`` (:issue:`45350`)
 - Bug in :meth:`DataFrame.info` where a new line at the end of the output is omitted when called on an empty :class:`DataFrame` (:issue:`45494`)
+- Bug in :func:`read_parquet` when ``engine="pyarrow"`` which caused partial write to disk when column of unsupported datatype was passed (:issue:`44914`)
+-
 
 Period
 ^^^^^^
diff --git a/pandas/io/parquet.py b/pandas/io/parquet.py
index 4880c7730ff07..c5bfbd2b6b35d 100644
--- a/pandas/io/parquet.py
+++ b/pandas/io/parquet.py
@@ -180,6 +180,9 @@ def write(
             mode="wb",
             is_dir=partition_cols is not None,
         )
+        if isinstance(path_or_handle, io.BufferedWriter):
+            path_or_handle = path_or_handle.raw.name
+
         try:
             if partition_cols is not None:
                 # writes to multiple files under the given path
diff --git a/pandas/tests/io/test_parquet.py b/pandas/tests/io/test_parquet.py
index b60ff00f9d59e..93cc2fd5100c8 100644
--- a/pandas/tests/io/test_parquet.py
+++ b/pandas/tests/io/test_parquet.py
@@ -721,6 +721,27 @@ def test_unsupported(self, pa):
         # older pyarrows raise ArrowInvalid
         self.check_external_error_on_write(df, pa, pyarrow.ArrowException)
 
+    def test_unsupported_float16(self, pa):
+        # #44847, #44914
+        # Not able to write float 16 column using pyarrow.
+        data = np.arange(2, 10, dtype=np.float16)
+        df = pd.DataFrame(data=data, columns=["fp16"])
+        self.check_external_error_on_write(df, pa, pyarrow.ArrowException)
+
+    @pytest.mark.parametrize("path_type", [str, pathlib.Path])
+    def test_unsupported_float16_cleanup(self, pa, path_type):
+        # #44847, #44914
+        # Not able to write float 16 column using pyarrow.
+        # Tests cleanup by pyarrow in case of an error
+        data = np.arange(2, 10, dtype=np.float16)
+        df = pd.DataFrame(data=data, columns=["fp16"])
+
+        with tm.ensure_clean() as path_str:
+            path = path_type(path_str)
+            with tm.external_error_raised(pyarrow.ArrowException):
+                df.to_parquet(path=path, engine=pa)
+            assert not os.path.isfile(path)
+
     def test_categorical(self, pa):
 
         # supported in >= 0.7.0