diff --git a/task.py b/task.py
new file mode 100644
index 00000000..0b3b5586
--- /dev/null
+++ b/task.py
@@ -0,0 +1,77 @@
+import csv
+import sqlite3
+
+def create_tables(cursor):
+    cursor.execute("""
+        CREATE TABLE IF NOT EXISTS shipping_data_0 (
+            origin_warehouse TEXT,
+            destination_store TEXT,
+            product TEXT,
+            on_time TEXT,
+            product_quantity INTEGER,
+            driver_identifier TEXT
+        )
+    """)
+
+    cursor.execute("""
+        CREATE TABLE IF NOT EXISTS shipping_data_1 (
+            shipment_identifier TEXT,
+            product TEXT,
+            on_time TEXT,
+            origin_warehouse TEXT,
+            destination_store TEXT
+        )
+    """)
+
+def insert_shipping_data_0(cursor):
+    with open('data/shipping_data_0.csv', 'r') as file:
+        csv_reader = csv.reader(file)
+        next(csv_reader)
+        for row in csv_reader:
+            origin_warehouse, destination_store, product, on_time, product_quantity, driver_identifier = row
+            cursor.execute("INSERT INTO shipping_data_0 (origin_warehouse, destination_store, product, on_time, product_quantity, driver_identifier) VALUES (?, ?, ?, ?, ?, ?)",
+                           (origin_warehouse, destination_store, product, on_time, product_quantity, driver_identifier))
+
+
+# combining each row based on its shipping identifier, finding the quantity of goods in the shipment, and adding a new row to the database for each product in the shipment.
+
+def insert_shipping_data_2(cursor):
+    # Read and process shipping data from 'shipping_data_2.csv'
+    with open('data/shipping_data_2.csv', 'r') as file:
+        csv_reader = csv.reader(file)
+        next(csv_reader)  # Skip the header row
+        shipping_data_2_rows = [row for row in csv_reader]
+
+    # Read and process shipping data from 'shipping_data_1.csv'
+    with open('data/shipping_data_1.csv', 'r') as file:
+        csv_reader = csv.reader(file)
+        next(csv_reader)  # Skip the header row
+
+        # Loop through rows in 'shipping_data_1.csv'
+        for row in csv_reader:
+            shipment_identifier, product, on_time = row
+
+            # Find matching rows in 'shipping_data_2_rows' based on 'shipment_identifier'
+            matching_rows = [r for r in shipping_data_2_rows if r[0] == shipment_identifier]
+
+            # If a matching row is found in 'shipping_data_2_rows'
+            if matching_rows:
+                origin_warehouse, destination_store, driver_identifier = matching_rows[0][1], matching_rows[0][2], matching_rows[0][3]
+                
+                # Execute an SQL INSERT statement to insert data into the 'shipping_data_1' table
+                cursor.execute("INSERT INTO shipping_data_1 (shipment_identifier, product, on_time, origin_warehouse, destination_store) VALUES (?, ?, ?, ?, ?)",
+                               (shipment_identifier, product, on_time, origin_warehouse, destination_store))
+
+if __name__ == "__main__":
+    # Establishing connection to sqlite if the script is being run as the main program
+    conn = sqlite3.connect('shipment_database.db')
+    cursor = conn.cursor()
+
+    create_tables(cursor)  # Creating required table
+
+    insert_shipping_data_0(cursor)
+    insert_shipping_data_2(cursor)
+
+    # Commit changes and close the database connection
+    conn.commit()
+    conn.close()
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