diff --git a/metadata-ingestion/src/datahub/ingestion/source/ge_profiling_config.py b/metadata-ingestion/src/datahub/ingestion/source/ge_profiling_config.py
index 93142a347ca0e6..9c251c040bed13 100644
--- a/metadata-ingestion/src/datahub/ingestion/source/ge_profiling_config.py
+++ b/metadata-ingestion/src/datahub/ingestion/source/ge_profiling_config.py
@@ -115,26 +115,30 @@ class GEProfilingConfig(GEProfilingBaseConfig):
     )
     max_number_of_fields_to_profile: Optional[pydantic.PositiveInt] = Field(
         default=None,
-        description="A positive integer that specifies the maximum number of columns to profile for any table. `None` implies all columns. The cost of profiling goes up significantly as the number of columns to profile goes up.",
+        description="A positive integer that specifies the maximum number of columns to profile for "
+        "any table. `None` implies all columns. The cost of profiling goes up significantly as the "
+        "number of columns to profile goes up.",
     )
 
     profile_if_updated_since_days: Optional[pydantic.PositiveFloat] = Field(
         default=None,
-        description="Profile table only if it has been updated since these many number of days. If set to `null`, no constraint of last modified time for tables to profile. Supported only in `snowflake` and `BigQuery`.",
+        description="Profile table only if it has been updated since these many number of days. "
+        "If set to `null`, no constraint of last modified time for tables to profile. "
+        "Supported only in `snowflake` and `BigQuery`.",
     )
 
     profile_table_size_limit: Optional[int] = Field(
         default=5,
         description="Profile tables only if their size is less than specified GBs. If set to `null`, "
-        "no limit on the size of tables to profile. Supported only in `snowflake` and `BigQuery`"
-        "Supported for `oracle` based on calculated size from gathered stats.",
+        "no limit on the size of tables to profile. Supported only in `Snowflake`, `BigQuery` and "
+        "`Databricks`. Supported for `Oracle` based on calculated size from gathered stats.",
     )
 
     profile_table_row_limit: Optional[int] = Field(
         default=5000000,
-        description="Profile tables only if their row count is less than specified count. If set to `null`, "
-        "no limit on the row count of tables to profile. Supported only in `snowflake` and `BigQuery`"
-        "Supported for `oracle` based on gathered stats.",
+        description="Profile tables only if their row count is less than specified count. "
+        "If set to `null`, no limit on the row count of tables to profile. Supported only in "
+        "`Snowflake`, `BigQuery`. Supported for `Oracle` based on gathered stats.",
     )
 
     profile_table_row_count_estimate_only: bool = Field(
diff --git a/metadata-ingestion/src/datahub/ingestion/source/unity/ge_profiler.py b/metadata-ingestion/src/datahub/ingestion/source/unity/ge_profiler.py
index e24ca8330777ed..276990ba1bbad4 100644
--- a/metadata-ingestion/src/datahub/ingestion/source/unity/ge_profiler.py
+++ b/metadata-ingestion/src/datahub/ingestion/source/unity/ge_profiler.py
@@ -117,6 +117,7 @@ def get_unity_profile_request(
 
         if table.size_in_bytes is None:
             self.report.num_profile_missing_size_in_bytes += 1
+
         if not self.is_dataset_eligible_for_profiling(
             dataset_name,
             size_in_bytes=table.size_in_bytes,
@@ -143,6 +144,17 @@ def get_unity_profile_request(
                 self.report.report_dropped(dataset_name)
             return None
 
+        if profile_table_level_only and table.size_in_bytes is not None:
+            # For requests with profile_table_level_only set, dataset profile is generated
+            # by looking at table.rows_count. For delta tables (a typical databricks table)
+            # count(*) is an efficient query to compute row count.
+            # Presence of size_in_bytes confirms this is DELTA table and that we have
+            # SELECT permission on this table.
+            try:
+                table.rows_count = _get_dataset_row_count(table, conn)
+            except Exception as e:
+                logger.warning(f"Failed to get table row count for {dataset_name}: {e}")
+
         self.report.report_entity_profiled(dataset_name)
         logger.debug(f"Preparing profiling request for {dataset_name}")
         return TableProfilerRequest(
@@ -160,6 +172,9 @@ def _get_dataset_size_in_bytes(
         conn.dialect.identifier_preparer.quote(c)
         for c in [table.ref.catalog, table.ref.schema, table.ref.table]
     )
+    # This query only works for delta table.
+    # Ref: https://docs.databricks.com/en/delta/table-details.html
+    # Note: Any change here should also update _get_dataset_row_count
     row = conn.execute(f"DESCRIBE DETAIL {name}").fetchone()
     if row is None:
         return None
@@ -168,3 +183,21 @@ def _get_dataset_size_in_bytes(
             return int(row._asdict()["sizeInBytes"])
         except Exception:
             return None
+
+
+def _get_dataset_row_count(
+    table: UnityCatalogSQLGenericTable, conn: Connection
+) -> Optional[int]:
+    name = ".".join(
+        conn.dialect.identifier_preparer.quote(c)
+        for c in [table.ref.catalog, table.ref.schema, table.ref.table]
+    )
+    # This query only works efficiently for delta table
+    row = conn.execute(f"select count(*) as numRows from {name}").fetchone()
+    if row is None:
+        return None
+    else:
+        try:
+            return int(row._asdict()["numRows"])
+        except Exception:
+            return None