diff --git a/metadata-ingestion/setup.py b/metadata-ingestion/setup.py
index 365da21208ecc..b9deb9854c370 100644
--- a/metadata-ingestion/setup.py
+++ b/metadata-ingestion/setup.py
@@ -122,6 +122,10 @@
     "more_itertools",
 }
 
+cachetools_lib = {
+    "cachetools",
+}
+
 sql_common = (
     {
         # Required for all SQL sources.
@@ -138,6 +142,7 @@
         # https://github.com/ipython/traitlets/issues/741
         "traitlets<5.2.2",
         "greenlet",
+        *cachetools_lib,
     }
     | usage_common
     | sqlglot_lib
@@ -213,7 +218,7 @@
     "pandas",
     "cryptography",
     "msal",
-    "cachetools",
+    *cachetools_lib,
 } | classification_lib
 
 trino = {
@@ -457,7 +462,7 @@
     | sqlglot_lib
     | classification_lib
     | {"db-dtypes"}  # Pandas extension data types
-    | {"cachetools"},
+    | cachetools_lib,
     "s3": {*s3_base, *data_lake_profiling},
     "gcs": {*s3_base, *data_lake_profiling},
     "abs": {*abs_base, *data_lake_profiling},
diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py
index 3ead59eed2d39..7d82d99412ffe 100644
--- a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py
+++ b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py
@@ -2,6 +2,8 @@
 from abc import abstractmethod
 from typing import Any, Dict, Optional
 
+import cachetools
+import cachetools.keys
 import pydantic
 from pydantic import Field
 from sqlalchemy.engine import URL
@@ -27,6 +29,7 @@
     StatefulIngestionConfigBase,
 )
 from datahub.ingestion.source_config.operation_config import is_profiling_enabled
+from datahub.utilities.cachetools_keys import self_methodkey
 
 logger: logging.Logger = logging.getLogger(__name__)
 
@@ -115,6 +118,13 @@ class SQLCommonConfig(
     # Custom Stateful Ingestion settings
     stateful_ingestion: Optional[StatefulStaleMetadataRemovalConfig] = None
 
+    # TRICKY: The operation_config is time-dependent. Because we don't want to change
+    # whether or not we're running profiling mid-ingestion, we cache the result of this method.
+    # TODO: This decorator should be moved to the is_profiling_enabled(operation_config) method.
+    @cachetools.cached(
+        cache=cachetools.LRUCache(maxsize=1),
+        key=self_methodkey,
+    )
     def is_profiling_enabled(self) -> bool:
         return self.profiling.enabled and is_profiling_enabled(
             self.profiling.operation_config
diff --git a/metadata-ingestion/src/datahub/utilities/cachetools_keys.py b/metadata-ingestion/src/datahub/utilities/cachetools_keys.py
new file mode 100644
index 0000000000000..e3c7d67c81cd3
--- /dev/null
+++ b/metadata-ingestion/src/datahub/utilities/cachetools_keys.py
@@ -0,0 +1,8 @@
+from typing import Any
+
+import cachetools.keys
+
+
+def self_methodkey(self: Any, *args: Any, **kwargs: Any) -> Any:
+    # Keeps the id of self around
+    return cachetools.keys.hashkey(id(self), *args, **kwargs)