diff --git a/providers/common/sql/src/airflow/providers/common/sql/hooks/sql.py b/providers/common/sql/src/airflow/providers/common/sql/hooks/sql.py
index 3d75be0965291..5c45e8b19fa19 100644
--- a/providers/common/sql/src/airflow/providers/common/sql/hooks/sql.py
+++ b/providers/common/sql/src/airflow/providers/common/sql/hooks/sql.py
@@ -54,7 +54,7 @@
 from airflow.utils.module_loading import import_string
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import DataFrame as PandasDataFrame
     from polars import DataFrame as PolarsDataFrame
     from sqlalchemy.engine import URL, Engine, Inspector
 
@@ -391,7 +391,7 @@ def get_pandas_df(
         sql,
         parameters: list | tuple | Mapping[str, Any] | None = None,
         **kwargs,
-    ) -> DataFrame:
+    ) -> PandasDataFrame:
         """
         Execute the sql and returns a pandas dataframe.
 
@@ -413,17 +413,37 @@ def get_pandas_df_by_chunks(
         *,
         chunksize: int,
         **kwargs,
-    ) -> Generator[DataFrame, None, None]:
+    ) -> Generator[PandasDataFrame, None, None]:
         return self._get_pandas_df_by_chunks(sql, parameters, chunksize=chunksize, **kwargs)
 
+    @overload
     def get_df(
         self,
-        sql,
+        sql: str | list[str],
+        parameters: list | tuple | Mapping[str, Any] | None = None,
+        *,
+        df_type: Literal["pandas"] = "pandas",
+        **kwargs: Any,
+    ) -> PandasDataFrame: ...
+
+    @overload
+    def get_df(
+        self,
+        sql: str | list[str],
+        parameters: list | tuple | Mapping[str, Any] | None = None,
+        *,
+        df_type: Literal["polars"],
+        **kwargs: Any,
+    ) -> PolarsDataFrame: ...
+
+    def get_df(
+        self,
+        sql: str | list[str],
         parameters: list | tuple | Mapping[str, Any] | None = None,
         *,
         df_type: Literal["pandas", "polars"] = "pandas",
         **kwargs,
-    ) -> DataFrame | PolarsDataFrame:
+    ) -> PandasDataFrame | PolarsDataFrame:
         """
         Execute the sql and returns a dataframe.
 
@@ -442,7 +462,7 @@ def _get_pandas_df(
         sql,
         parameters: list | tuple | Mapping[str, Any] | None = None,
         **kwargs,
-    ) -> DataFrame:
+    ) -> PandasDataFrame:
         """
         Execute the sql and returns a pandas dataframe.
 
@@ -492,15 +512,37 @@ def _get_polars_df(
 
             return pl.read_database(sql, connection=conn, execute_options=execute_options, **kwargs)
 
+    @overload
     def get_df_by_chunks(
         self,
-        sql,
+        sql: str | list[str],
+        parameters: list | tuple | Mapping[str, Any] | None = None,
+        *,
+        chunksize: int,
+        df_type: Literal["pandas"] = "pandas",
+        **kwargs,
+    ) -> Generator[PandasDataFrame, None, None]: ...
+
+    @overload
+    def get_df_by_chunks(
+        self,
+        sql: str | list[str],
+        parameters: list | tuple | Mapping[str, Any] | None = None,
+        *,
+        chunksize: int,
+        df_type: Literal["polars"],
+        **kwargs,
+    ) -> Generator[PolarsDataFrame, None, None]: ...
+
+    def get_df_by_chunks(
+        self,
+        sql: str | list[str],
         parameters: list | tuple | Mapping[str, Any] | None = None,
         *,
         chunksize: int,
         df_type: Literal["pandas", "polars"] = "pandas",
         **kwargs,
-    ) -> Generator[DataFrame | PolarsDataFrame, None, None]:
+    ) -> Generator[PandasDataFrame | PolarsDataFrame, None, None]:
         """
         Execute the sql and return a generator.
 
@@ -522,7 +564,7 @@ def _get_pandas_df_by_chunks(
         *,
         chunksize: int,
         **kwargs,
-    ) -> Generator[DataFrame, None, None]:
+    ) -> Generator[PandasDataFrame, None, None]:
         """
         Execute the sql and return a generator.
 
diff --git a/providers/common/sql/src/airflow/providers/common/sql/hooks/sql.pyi b/providers/common/sql/src/airflow/providers/common/sql/hooks/sql.pyi
index 939c0bcc5d2f1..903444a29528f 100644
--- a/providers/common/sql/src/airflow/providers/common/sql/hooks/sql.pyi
+++ b/providers/common/sql/src/airflow/providers/common/sql/hooks/sql.pyi
@@ -34,13 +34,11 @@ isort:skip_file
 
 from collections.abc import Generator, Iterable, Mapping, MutableMapping, Sequence
 from functools import cached_property as cached_property
-from typing import Any, Callable, Protocol, TypeVar, overload
+from typing import Any, Protocol, TypeVar
 
 from _typeshed import Incomplete as Incomplete
 from pandas import DataFrame as PandasDataFrame
-from polars import DataFrame as PolarsDataFrame
 from sqlalchemy.engine import URL as URL, Engine as Engine, Inspector as Inspector
-from typing_extensions import Literal
 
 from airflow.hooks.base import BaseHook as BaseHook
 from airflow.models import Connection as Connection
@@ -111,61 +109,6 @@ class DbApiHook(BaseHook):
     def get_pandas_df_by_chunks(
         self, sql, parameters: list | tuple | Mapping[str, Any] | None = None, *, chunksize: int, **kwargs
     ) -> Generator[PandasDataFrame, None, None]: ...
-    @overload
-    def get_df(
-        self,
-        sql: str | list[str],
-        parameters: list | tuple | Mapping[str, Any] | None = None,
-        *,
-        df_type: Literal["pandas"] = "pandas",
-        **kwargs: Any,
-    ) -> PandasDataFrame: ...
-    @overload
-    def get_df(
-        self,
-        sql: str | list[str],
-        parameters: list | tuple | Mapping[str, Any] | None = None,
-        *,
-        df_type: Literal["polars"] = "polars",
-        **kwargs: Any,
-    ) -> PolarsDataFrame: ...
-    @overload
-    def get_df(  # fallback overload
-        self,
-        sql: str | list[str],
-        parameters: list | tuple | Mapping[str, Any] | None = None,
-        *,
-        df_type: Literal["pandas", "polars"] = "pandas",
-    ) -> PandasDataFrame | PolarsDataFrame: ...
-    @overload
-    def get_df_by_chunks(
-        self,
-        sql,
-        parameters: list | tuple | Mapping[str, Any] | None = None,
-        *,
-        chunksize: int,
-        df_type: Literal["pandas"] = "pandas",
-        **kwargs,
-    ) -> Generator[PandasDataFrame, None, None]: ...
-    @overload
-    def get_df_by_chunks(
-        self,
-        sql,
-        parameters: list | tuple | Mapping[str, Any] | None = None,
-        *,
-        chunksize: int,
-        df_type: Literal["polars"],
-        **kwargs,
-    ) -> Generator[PolarsDataFrame, None, None]: ...
-    @overload
-    def get_df_by_chunks(  # fallback overload
-        self,
-        sql,
-        parameters: list | tuple | Mapping[str, Any] | None = None,
-        *,
-        chunksize: int,
-        df_type: Literal["pandas", "polars"] = "pandas",
-    ) -> Generator[PandasDataFrame | PolarsDataFrame, None, None]: ...
     def get_records(
         self, sql: str | list[str], parameters: Iterable | Mapping[str, Any] | None = None
     ) -> Any: ...
@@ -178,26 +121,6 @@ class DbApiHook(BaseHook):
     def split_sql_string(sql: str, strip_semicolon: bool = False) -> list[str]: ...
     @property
     def last_description(self) -> Sequence[Sequence] | None: ...
-    @overload
-    def run(
-        self,
-        sql: str | Iterable[str],
-        autocommit: bool = ...,
-        parameters: Iterable | Mapping[str, Any] | None = ...,
-        handler: None = ...,
-        split_statements: bool = ...,
-        return_last: bool = ...,
-    ) -> None: ...
-    @overload
-    def run(
-        self,
-        sql: str | Iterable[str],
-        autocommit: bool = ...,
-        parameters: Iterable | Mapping[str, Any] | None = ...,
-        handler: Callable[[Any], T] = ...,
-        split_statements: bool = ...,
-        return_last: bool = ...,
-    ) -> tuple | list[tuple] | list[list[tuple] | tuple] | None: ...
     def set_autocommit(self, conn, autocommit) -> None: ...
     def get_autocommit(self, conn) -> bool: ...
     def get_cursor(self) -> Any: ...