diff --git a/.github/workflows/databricks_pull_request_tests.yml b/.github/workflows/databricks_pull_request_tests.yml
index 15f91de..835b551 100644
--- a/.github/workflows/databricks_pull_request_tests.yml
+++ b/.github/workflows/databricks_pull_request_tests.yml
@@ -12,7 +12,7 @@ jobs:
     runs-on: ubuntu-latest
     timeout-minutes: 15
 
-    steps:
+    steps:        
       - name: Checkout repo
         uses: actions/checkout@v4 
       - name: Run test notebook
diff --git a/.github/workflows/linting.yml b/.github/workflows/linting.yml
new file mode 100644
index 0000000..5b45efe
--- /dev/null
+++ b/.github/workflows/linting.yml
@@ -0,0 +1,16 @@
+name: linting
+
+on: [push]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+    - uses: actions/setup-python@v5
+      with:
+       python-version: '3.11'
+       cache: 'pip' # caching pip dependencies
+    - run: pip install pylint
+    - run: pip install databricks-labs-pylint
+    - run: pylint --load-plugins=databricks.labs.pylint.all covid_analysis/transforms.py
diff --git a/covid_analysis/transforms.py b/covid_analysis/transforms.py
index 5ee3a08..e8a36d1 100644
--- a/covid_analysis/transforms.py
+++ b/covid_analysis/transforms.py
@@ -2,23 +2,23 @@
 
 # Filter by country code.
 def filter_country(pdf, country="USA"):
-  pdf = pdf[pdf.iso_code == country]
-  return pdf
+    pdf = pdf[pdf.iso_code == country]
+    return pdf
 
 # Pivot by indicator, and fill missing values.
 def pivot_and_clean(pdf, fillna):
-  pdf["value"] = pd.to_numeric(pdf["value"])
-  pdf = pdf.fillna(fillna).pivot_table(
-    values="value", columns="indicator", index="date"
-  )
-  return pdf
+    pdf["value"] = pd.to_numeric(pdf["value"])
+    pdf = pdf.fillna(fillna).pivot_table(
+        values="value", columns="indicator", index="date"
+    )
+    return pdf
 
 # Create column names that are compatible with Delta tables.
 def clean_spark_cols(pdf):
-  pdf.columns = pdf.columns.str.replace(" ", "_")
-  return pdf
+    pdf.columns = pdf.columns.str.replace(" ", "_")
+    return pdf
 
 # Convert index to column (works with pandas API on Spark, too).
 def index_to_col(df, colname):
-  df[colname] = df.index
-  return df
\ No newline at end of file
+    df[colname] = df.index
+    return df
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..6d8a5e9
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,2 @@
+[tool.pylint.main]
+load-plugins = "databricks.labs.pylint.all"
diff --git a/requirements.txt b/requirements.txt
index f0a03ed..bdbfb41 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -20,4 +20,5 @@ python-dateutil==2.8.2
 pytz==2022.1
 six==1.16.0
 tomli==2.0.1
-wget==3.2
\ No newline at end of file
+wget==3.2
+databricks-labs-pylint