diff --git a/containers/jml-extract-lambda/CHANGELOG.md b/containers/jml-extract-lambda/CHANGELOG.md
new file mode 100644
index 0000000000..bba61207ca
--- /dev/null
+++ b/containers/jml-extract-lambda/CHANGELOG.md
@@ -0,0 +1,22 @@
+<!-- markdownlint-disable MD003 -->
+
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+## [1.0.1] - 2024-01-17
+
+### Changed
+
+- Updated ECR repository name
+
+## [1.0.0] - 2023-09-12
+
+### Added
+
+- initial implementation of lambda function for extracting JML data on a schedule
diff --git a/containers/jml-extract-lambda/Dockerfile b/containers/jml-extract-lambda/Dockerfile
new file mode 100644
index 0000000000..72674b85e2
--- /dev/null
+++ b/containers/jml-extract-lambda/Dockerfile
@@ -0,0 +1,12 @@
+FROM public.ecr.aws/lambda/python:3.11
+
+ARG VERSION
+
+ENV BASE_VERSION="${VERSION}"
+
+COPY src/var/task ${LAMDA_TASK_ROOT}
+
+RUN python -m pip install --no-cache-dir --upgrade pip==23.3.2 \
+    && python -m pip install --no-cache-dir --requirement requirements.txt
+
+CMD ["handler.handler"]
diff --git a/containers/jml-extract-lambda/config.json b/containers/jml-extract-lambda/config.json
new file mode 100644
index 0000000000..f7f41b8a9c
--- /dev/null
+++ b/containers/jml-extract-lambda/config.json
@@ -0,0 +1,11 @@
+{
+  "name": "jml-extract-lambda",
+  "version": "1.0.1",
+  "registry": "ecr",
+    "ecr": {
+        "role": "arn:aws:iam::013433889002:role/modernisation-platform-oidc-cicd",
+        "account": "374269020027",
+        "region": "eu-west-2",
+        "repository": "data-platform-jml-extract-lambda-ecr-repo"
+    }
+}
diff --git a/containers/jml-extract-lambda/src/var/task/handler.py b/containers/jml-extract-lambda/src/var/task/handler.py
new file mode 100644
index 0000000000..b2a1868e3e
--- /dev/null
+++ b/containers/jml-extract-lambda/src/var/task/handler.py
@@ -0,0 +1,83 @@
+import os
+from datetime import datetime as dt
+from urllib.error import HTTPError
+
+import awswrangler as wr
+import boto3
+import pandas as pd
+from notifications_python_client import prepare_upload
+from notifications_python_client.notifications import NotificationsAPIClient
+
+
+def handler(event, context):
+    SECRET_ID = os.environ["SECRET_ID"]
+    LOG_GROUP_NAMES = os.environ["LOG_GROUP_NAMES"]
+    EMAIL_SECRET = os.environ["EMAIL_SECRET"]
+    TEMPLATE_ID = os.environ["TEMPLATE_ID"]
+
+    secrets_client = boto3.client("secretsmanager")
+
+    response = secrets_client.get_secret_value(SecretId=SECRET_ID)
+    api_key = response["SecretString"]
+
+    notifications_client = NotificationsAPIClient(api_key)
+
+    response = secrets_client.get_secret_value(SecretId=EMAIL_SECRET)
+    email_address = response["SecretString"]
+
+    now = dt.now()
+    current_date = dt.strftime(now.date(), "%Y/%m/%d")
+
+    # Query
+    query = f"""fields detail.data.user_id as `User`, detail.data.user_name as `Employee Email Address`
+    | filter detail.data.type = "s"
+    | filter detail.data.connection = "github"
+    | stats max(@timestamp) as `Last login date` by "{current_date}" as `Effective Date of Data`, \
+     `User`, `Employee Email Address`
+    | sort `Last login date` desc
+    """
+
+    # Date range
+    year = dt.now().year
+    current_month = dt.now().month
+    previous_month = current_month - 1
+    end_datetime = dt(year, current_month, 1, 0, 0, 0)
+    if previous_month == 0:
+        previous_month = 12
+        end_datetime = dt(year, current_month, 1, 0, 0, 0)
+        year = year - 1
+
+    start_datetime = dt(year, previous_month, 1, 0, 0, 0)
+
+    # Read logs
+    dataframe = wr.cloudwatch.read_logs(
+        log_group_names=LOG_GROUP_NAMES,
+        query=query,
+        start_time=start_datetime,
+        end_time=end_datetime,
+    )
+
+    # Datestamp
+    datestamp = end_datetime.strftime(format="%Y_%m_%d")
+    dataframe["Last login date"] = pd.to_datetime(
+        dataframe["Last login date"], format="%Y-%m-%d %H:%M:%S.%f"
+    ).apply(lambda x: str(dt.strftime(x, "%Y/%m/%d")))
+
+    # Save to Excel
+    excel_filename = f"/tmp/jml_extract_{datestamp}.xlsx"
+    dataframe.to_excel(excel_filename, index=False, sheet_name="Data")
+
+    # Send email notification
+    with open(excel_filename, "rb") as f:
+        try:
+            response = notifications_client.send_email_notification(
+                email_address=email_address,
+                template_id=TEMPLATE_ID,
+                personalisation={
+                    "date": current_date,
+                    "link_to_file": prepare_upload(f),
+                },
+            )
+        except HTTPError as e:
+            print(e)
+            raise e
diff --git a/containers/jml-extract-lambda/src/var/task/requirements.txt b/containers/jml-extract-lambda/src/var/task/requirements.txt
new file mode 100644
index 0000000000..1eef869111
--- /dev/null
+++ b/containers/jml-extract-lambda/src/var/task/requirements.txt
@@ -0,0 +1,6 @@
+awswrangler==3.5.1
+boto3==1.34.19
+botocore==1.34.19
+pandas==2.1.4
+notifications-python-client==9.0.0
+openpyxl==3.1.2