diff --git a/Dockerfile b/Dockerfile
index cb47c32..1a42036 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,13 +1,16 @@
-FROM python:3.12-slim as build
+FROM python:3.12-slim AS build
 
 # Set path for Oracle client libraries
-ENV LD_LIBRARY_PATH /opt/lib/
+ENV LD_LIBRARY_PATH=/opt/lib/
 
 RUN apt-get update && apt-get upgrade -y
 
+# Install
+
 # Install Oracle 19.x client libraries
-RUN apt-get install -y unzip libaio1
-ENV INSTANTCLIENT_FILENAME instantclient-basiclite-linux.x64-19.23.0.0.0dbru.zip
+RUN apt-get install -y unzip libaio1t64
+RUN ln -s /usr/lib/x86_64-linux-gnu/libaio.so.1t64 /usr/lib/libaio.so.1
+ENV INSTANTCLIENT_FILENAME=instantclient-basiclite-linux.x64-19.23.0.0.0dbru.zip
 COPY vendor/$INSTANTCLIENT_FILENAME /
 RUN unzip -j $INSTANTCLIENT_FILENAME -d /opt/lib/
 
diff --git a/Pipfile.lock b/Pipfile.lock
index 479e544..085c08b 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -27,11 +27,11 @@
         },
         "certifi": {
             "hashes": [
-                "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057",
-                "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b"
+                "sha256:e564105f78ded564e3ae7c923924435e1daa7463faeab5bb932bc53ffae63407",
+                "sha256:f6c12493cfb1b06ba2ff328595af9350c65d6644968e5d3a2ffd78699af217a5"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==2025.6.15"
+            "version": "==2025.8.3"
         },
         "cffi": {
             "hashes": [
@@ -108,101 +108,88 @@
         },
         "charset-normalizer": {
             "hashes": [
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             "markers": "python_version >= '3.9'",
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+            "version": "==2.3.2.250827"
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@@ -601,21 +616,21 @@
         },
         "requests": {
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-            "version": "==2.32.4"
+            "markers": "python_version >= '3.9'",
+            "version": "==2.32.5"
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         "sentry-sdk": {
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+            "version": "==2.35.1"
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         "six": {
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@@ -627,67 +642,67 @@
         },
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@@ -699,46 +714,46 @@
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@@ -813,20 +828,20 @@
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@@ -841,11 +856,11 @@
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@@ -857,101 +872,88 @@
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@@ -966,76 +968,97 @@
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@@ -1093,28 +1116,28 @@
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@@ -1319,11 +1348,11 @@
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@@ -1335,11 +1364,11 @@
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@@ -1359,11 +1388,11 @@
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@@ -1392,11 +1421,11 @@
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@@ -1408,20 +1437,20 @@
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+                "sha256:1f68433c4fbc63efbfa3ba5db31727db229fa4e61000f452c540474b03de52a9",
+                "sha256:2c6f4064c69d2542029b2a61d39920c85240c39837599d7f2e32e80d36401d6e",
+                "sha256:37b4a64f4062a50c75019c61c7017ff598cb444984b638511f48539d3a1c98db",
+                "sha256:4f1345fbf8fb0531cd722285b5f15af49b2932742fc96b633e883da8d841896b",
+                "sha256:7837eca8787f076f67aba2ca559cefd9c5cbc3a9852fd66186f4201b87c1563e",
+                "sha256:7d1a4e0bdfafcd2e3e235ecf50bf0176f74dd37902f241588ae1f6c827a36c56",
+                "sha256:822d9677b560f1fdeab69b89d1f444bf5459da4aa04e06e766cf0121771ab844",
+                "sha256:8b593cb0fb55cc8692dac7b06deb29afda78c721c7ccfed22db941201b7b8f7b",
+                "sha256:9de785e95dc2f09846c5e6e1d3a3d32ecd0b283a979898ad427a9be7be22b266",
+                "sha256:ae479e1a18b439c59138f066ae79cc0f3ee250712a873d00dbafadaad9481e5b",
+                "sha256:cc138cc06ed9d4bfa9d667a65af7172b47840e1a98b02ce7011c391e54635ffc",
+                "sha256:d59e58586829f8e4a9920788f6efba97a13d1fa320b047814e8afede381c6839",
+                "sha256:e67d96827854f50b9e3e8327b031647e7bcc090dbe7bb11101a81a3a2cbf1cc9",
+                "sha256:ebb7333a45d56efc7c110a46a69a1b32365d5c5161e7244aaf3aa20ce62399c1",
+                "sha256:f3fc21178cd44c98142ae7590f42ddcb587b8e09a3b849cbc84edb62ee95de60"
             ],
             "index": "pypi",
             "markers": "python_version >= '3.7'",
-            "version": "==0.12.0"
+            "version": "==0.12.10"
         },
         "s3transfer": {
             "hashes": [
-                "sha256:0148ef34d6dd964d0d8cf4311b2b21c474693e57c2e069ec708ce043d2b527be",
-                "sha256:f5e6db74eb7776a37208001113ea7aa97695368242b364d73e91c981ac522177"
+                "sha256:a981aa7429be23fe6dfc13e80e4020057cbab622b08c0315288758d67cabc724",
+                "sha256:c3fdba22ba1bd367922f27ec8032d6a1cf5f10c934fb5d68cf60fd5a23d936cf"
             ],
             "markers": "python_version >= '3.9'",
-            "version": "==0.13.0"
+            "version": "==0.13.1"
         },
         "six": {
             "hashes": [
@@ -1652,11 +1682,11 @@
         },
         "typing-extensions": {
             "hashes": [
-                "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4",
-                "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af"
+                "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466",
+                "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"
             ],
             "markers": "python_version >= '3.9'",
-            "version": "==4.14.0"
+            "version": "==4.15.0"
         },
         "urllib3": {
             "hashes": [
@@ -1668,11 +1698,11 @@
         },
         "virtualenv": {
             "hashes": [
-                "sha256:36efd0d9650ee985f0cad72065001e66d49a6f24eb44d98980f630686243cf11",
-                "sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af"
+                "sha256:341f5afa7eee943e4984a9207c025feedd768baff6753cd660c857ceb3e36026",
+                "sha256:44815b2c9dee7ed86e387b842a84f20b93f7f417f95886ca1996a72a4138eb1a"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==20.31.2"
+            "version": "==20.34.0"
         },
         "wcwidth": {
             "hashes": [
diff --git a/README.md b/README.md
index 5295f46..b388dc4 100644
--- a/README.md
+++ b/README.md
@@ -45,6 +45,7 @@ DATA_WAREHOUSE_CONNECTION_STRING=# Data Warehouse SQLAlchemy connection string,
 DYLD_LIBRARY_PATH=/usr/local/lib:$DYLD_LIBRARY_PATH # used when developing on arm64 architecture + Rosetta2 environment
 TARGETS_DIRECTORY=# Location to store Task Targets, overriding application default of "output"
 LUIGI_NUM_WORKERS=# Number of processes for luigi to run tasks in parallel.  If not set, defaults to 1 in application.  
+SKIP_TASK_INTEGRITY_CHECKS=# If set to a truth value like "1", "true", "yes", or "on", any integrity tests defined for a task will be skipped
 ```
 
 ## CLI Commands
diff --git a/hrqb/base/task.py b/hrqb/base/task.py
index 42e9162..3557ae6 100644
--- a/hrqb/base/task.py
+++ b/hrqb/base/task.py
@@ -121,6 +121,9 @@ def run_integrity_checks(  # type: ignore[no-untyped-def]
         **kwargs,  # noqa: ANN003
     ) -> None:
         """Run all registered integrity check methods."""
+        if Config().skip_task_integrity_checks:
+            return
+
         for check_name in getattr(self, "_integrity_checks", []):
             if check_func := getattr(self, check_name, None):
                 try:
diff --git a/hrqb/config.py b/hrqb/config.py
index 524ee54..7261b93 100644
--- a/hrqb/config.py
+++ b/hrqb/config.py
@@ -21,6 +21,7 @@ class Config:
         "DYLD_LIBRARY_PATH",
         "TARGETS_DIRECTORY",
         "LUIGI_NUM_WORKERS",
+        "SKIP_TASK_INTEGRITY_CHECKS",
     )
 
     def check_required_env_vars(self) -> None:
@@ -41,6 +42,13 @@ def targets_directory(self) -> str:
         directory = self.TARGETS_DIRECTORY or "output"
         return directory.removesuffix("/")
 
+    @property
+    def skip_task_integrity_checks(self) -> bool:
+        value = os.getenv("SKIP_TASK_INTEGRITY_CHECKS")
+        if value is None:
+            return False
+        return value.strip().lower() in {"1", "true", "t", "yes", "y"}
+
 
 def configure_logger(logger: logging.Logger, *, verbose: bool) -> str:
     # configure app logger
diff --git a/hrqb/tasks/employee_appointments.py b/hrqb/tasks/employee_appointments.py
index b4cc01b..5b33d7e 100644
--- a/hrqb/tasks/employee_appointments.py
+++ b/hrqb/tasks/employee_appointments.py
@@ -3,8 +3,15 @@
 import luigi  # type: ignore[import-untyped]
 import pandas as pd
 
-from hrqb.base.task import PandasPickleTask, QuickbaseUpsertTask, SQLQueryExtractTask
+from hrqb.base.task import (
+    HRQBTask,
+    PandasPickleTask,
+    QuickbaseUpsertTask,
+    SQLQueryExtractTask,
+)
+from hrqb.exceptions import IntegrityCheckError
 from hrqb.utils import md5_hash_from_values, normalize_dataframe_dates
+from hrqb.utils.quickbase import QBClient
 
 
 class ExtractDWEmployeeAppointments(SQLQueryExtractTask):
@@ -21,6 +28,7 @@ class TransformEmployeeAppointments(PandasPickleTask):
     """Transform Data Warehouse data for Employee Appointments QB table."""
 
     stage = luigi.Parameter("Transform")
+    table_name = "Employee Appointments"
 
     def requires(self) -> list[luigi.Task]:  # pragma: nocover
         return [ExtractDWEmployeeAppointments(pipeline=self.pipeline)]
@@ -80,6 +88,35 @@ def generate_merge_key(
             ]
         )
 
+    @HRQBTask.integrity_check
+    def qb_row_count_less_than_or_equal_transformed_row_count(
+        self, output_df: pd.DataFrame
+    ) -> None:
+        """Ensure Quickbase row count is less than or equal to transformed records.
+
+        Each run of this task retrieves ALL data from the data warehouse.  If Quickbase
+        has more rows then the data warehouse transformed data, this suggests a problem.
+
+        Args:
+            - output_df: the dataframe prepared by self.get_dataframe()
+        """
+        qbclient = QBClient()
+        qb_table_df = qbclient.get_table_as_df(
+            qbclient.get_table_id(self.table_name),
+            fields=["Record ID#"],
+        )
+
+        qb_count = len(qb_table_df)
+        transformed_count = len(output_df)
+
+        if qb_count > transformed_count:
+            message = (
+                f"For table '{self.table_name}', the Quickbase row count of {qb_count} "
+                f"exceeds this run's transformed row count of {transformed_count}. "
+                "This should not happen."
+            )
+            raise IntegrityCheckError(message)
+
 
 class LoadEmployeeAppointments(QuickbaseUpsertTask):
 
diff --git a/hrqb/tasks/employee_salary_history.py b/hrqb/tasks/employee_salary_history.py
index 99f5c04..23b4013 100644
--- a/hrqb/tasks/employee_salary_history.py
+++ b/hrqb/tasks/employee_salary_history.py
@@ -10,8 +10,10 @@
     QuickbaseUpsertTask,
     SQLQueryExtractTask,
 )
+from hrqb.exceptions import IntegrityCheckError
 from hrqb.tasks.employee_appointments import TransformEmployeeAppointments
 from hrqb.utils import md5_hash_from_values, normalize_dataframe_dates
+from hrqb.utils.quickbase import QBClient
 
 PERCENT_DECIMAL_ACCURACY = 5
 
@@ -27,8 +29,13 @@ def sql_file(self) -> str:
 
 
 class TransformEmployeeSalaryHistory(PandasPickleTask):
+    table_name = luigi.Parameter("Employee Salary History")
     stage = luigi.Parameter("Transform")
 
+    @property
+    def merge_field(self) -> str | None:
+        return "Key"
+
     def requires(self) -> list[luigi.Task]:  # pragma: nocover
         from hrqb.tasks.shared import ExtractQBEmployeeAppointments
 
@@ -75,11 +82,9 @@ def get_dataframe(self) -> pd.DataFrame:
                     row.mit_id,
                     row.position_id,
                     str(row.appointment_begin_date),
-                    str(row.appointment_end_date),
                     str(row.hr_personnel_action),
                     str(row.hr_action_reason),
                     str(row.start_date),
-                    str(row.end_date),
                 ]
             ),
             axis=1,
@@ -205,7 +210,42 @@ def all_rows_have_employee_appointments(self, output_df: pd.DataFrame) -> None:
                 f"{missing_appointment_count} rows are missing an Employee "
                 f"Appointment for task '{self.name}'"
             )
-            raise ValueError(message)
+            raise IntegrityCheckError(message)
+
+    @HRQBTask.integrity_check
+    def merge_field_values_are_unique(self, output_df: pd.DataFrame) -> None:
+        if not output_df[self.merge_field].is_unique:
+            message = f"Values for merge field {self.merge_field} are not unique."
+            raise IntegrityCheckError(message)
+
+    @HRQBTask.integrity_check
+    def qb_row_count_less_than_or_equal_transformed_row_count(
+        self, output_df: pd.DataFrame
+    ) -> None:
+        """Ensure Quickbase row count is less than or equal to transformed records.
+
+        Each run of this task retrieves ALL data from the data warehouse.  If Quickbase
+        has more rows then the data warehouse transformed data, this suggests a problem.
+
+        Args:
+            - output_df: the dataframe prepared by self.get_dataframe()
+        """
+        qbclient = QBClient()
+        qb_table_df = qbclient.get_table_as_df(
+            qbclient.get_table_id(self.table_name),
+            fields=["Record ID#"],
+        )
+
+        qb_count = len(qb_table_df)
+        transformed_count = len(output_df)
+
+        if qb_count > transformed_count:
+            message = (
+                f"For table '{self.table_name}', the Quickbase row count of {qb_count} "
+                f"exceeds this run's transformed row count of {transformed_count}. "
+                "This should not happen."
+            )
+            raise IntegrityCheckError(message)
 
 
 class LoadEmployeeSalaryHistory(QuickbaseUpsertTask):
diff --git a/pyproject.toml b/pyproject.toml
index 1da0ae7..98b5e4a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -49,12 +49,15 @@ ignore = [
     "D103",
     "D104",
     "D415",
+    "D417",
     "PLC0415",
     "PLR0912",
     "PLR0913", 
     "PLR0915",
     "S301",
     "S321",
+    "TD002",
+    "TD003",
 ]
 
 # allow autofix behavior for specified rules
diff --git a/tests/conftest.py b/tests/conftest.py
index f5565cb..70224be 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -44,6 +44,7 @@ def _test_env(request, monkeypatch, targets_directory, data_warehouse_connection
         "DATA_WAREHOUSE_CONNECTION_STRING",
         data_warehouse_connection_string,
     )
+    monkeypatch.setenv("SKIP_TASK_INTEGRITY_CHECKS", "1")
 
 
 @pytest.fixture
diff --git a/tests/tasks/test_employee_salary_history.py b/tests/tasks/test_employee_salary_history.py
index 42529f1..1441247 100644
--- a/tests/tasks/test_employee_salary_history.py
+++ b/tests/tasks/test_employee_salary_history.py
@@ -58,11 +58,9 @@ def test_task_transform_employee_salary_history_key_expected_from_input_data(
             emp_salary_row["MIT ID"],
             qb_emp_appt_row["Position ID"],
             qb_emp_appt_row["Begin Date"],
-            qb_emp_appt_row["End Date"],
             emp_salary_row["Related Salary Change Type"],
             emp_salary_row["Salary Change Reason"],
             emp_salary_row["Start Date"],
-            emp_salary_row["End Date"],
         ]
     )
 
diff --git a/tests/test_base_task.py b/tests/test_base_task.py
index 430939b..cbecb68 100644
--- a/tests/test_base_task.py
+++ b/tests/test_base_task.py
@@ -346,6 +346,7 @@ def test_base_task_integrity_check_decorator_adds_check_names_to_registered_chec
 
 
 def test_base_task_run_integrity_checks_invokes_present_and_skips_absent_checks(
+    monkeypatch,
     pandas_task_with_integrity_checks,
 ):
     """
@@ -353,6 +354,7 @@ def test_base_task_run_integrity_checks_invokes_present_and_skips_absent_checks(
     not have.  The task's defined integrity checks are invoked, while this other one is
     quietly skipped.
     """
+    monkeypatch.delenv("SKIP_TASK_INTEGRITY_CHECKS", raising=False)
     pandas_task_with_integrity_checks._integrity_checks.add("i_do_not_have")
 
     check_one = mock.MagicMock()
@@ -368,8 +370,9 @@ def test_base_task_run_integrity_checks_invokes_present_and_skips_absent_checks(
 
 
 def test_quickbase_upsert_task_integrity_checks_get_upsert_results(
-    upsert_task_with_integrity_checks, mocked_qb_api_upsert
+    monkeypatch, upsert_task_with_integrity_checks, mocked_qb_api_upsert
 ):
+    monkeypatch.delenv("SKIP_TASK_INTEGRITY_CHECKS", raising=False)
     check_one = mock.MagicMock()
     check_two = mock.MagicMock()
     upsert_task_with_integrity_checks.expecting_three_processed_records = check_one
@@ -383,8 +386,9 @@ def test_quickbase_upsert_task_integrity_checks_get_upsert_results(
 
 
 def test_failed_integrity_checks_raise_custom_exception(
-    pandas_task_with_integrity_checks, upsert_task_with_integrity_checks
+    monkeypatch, pandas_task_with_integrity_checks, upsert_task_with_integrity_checks
 ):
+    monkeypatch.delenv("SKIP_TASK_INTEGRITY_CHECKS", raising=False)
     # pandas task
     with pytest.raises(
         IntegrityCheckError, match="Expecting a 'letter' column in dataframe"
@@ -405,8 +409,10 @@ def test_task_without_integrity_checks_run_without_error(
 
 
 def test_upsert_task_duplicate_merge_field_values_raises_error(
+    monkeypatch,
     upsert_task_with_duplicate_merge_field_values,
 ):
+    monkeypatch.delenv("SKIP_TASK_INTEGRITY_CHECKS", raising=False)
     with pytest.raises(
         ValueError,
         match="Merge field 'Key' found to have duplicate values for task "