diff --git a/app/__pycache__/main.cpython-314.pyc b/app/__pycache__/main.cpython-314.pyc
new file mode 100644
index 0000000..fc7d8d5
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diff --git a/app/etl/__pycache__/extract.cpython-314.pyc b/app/etl/__pycache__/extract.cpython-314.pyc
new file mode 100644
index 0000000..be2adb2
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diff --git a/app/etl/__pycache__/load.cpython-314.pyc b/app/etl/__pycache__/load.cpython-314.pyc
new file mode 100644
index 0000000..e93d532
Binary files /dev/null and b/app/etl/__pycache__/load.cpython-314.pyc differ
diff --git a/app/etl/__pycache__/transform.cpython-314.pyc b/app/etl/__pycache__/transform.cpython-314.pyc
new file mode 100644
index 0000000..365b0a1
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diff --git a/app/etl/extract.py b/app/etl/extract.py
index 94714f2..5044796 100644
--- a/app/etl/extract.py
+++ b/app/etl/extract.py
@@ -1,8 +1,13 @@
 import pandas as pd
 import os
+import logging
 # TODO (Find & Fix)
 from typing import Optional
 
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(levelname)s - %(message)s"
+)
 def extract(path: str = "xyz.csv") -> pd.DataFrame :
     """
     Extracts data from CSV file.
@@ -27,14 +32,16 @@ def extract(path: str = "xyz.csv") -> pd.DataFrame :
     try:
         # Try different encodings
         encodings = ['utf-8', 'latin-1', 'cp1252', 'iso-8859-1']
-        df = None
+        df: Optional[pd.DataFrame] = None
         
         for encoding in encodings:
             try:
+                df = pd.read_csv(path, encoding=encoding)
+                break
                 # TODO (Find & Fix)
-                pass
+                
             except UnicodeDecodeError:
-                print(f"Failed to read with encoding '{encoding}'")  # Log the encoding that failed
+                logging.warning(f"Failed to read with encoding '{encoding}'")  # Log the encoding that failed
         
         if df is None:
             raise ValueError(f" Could not read CSV with tried encodings: {encodings}")
@@ -43,7 +50,7 @@ def extract(path: str = "xyz.csv") -> pd.DataFrame :
         if df.empty:
             raise ValueError("File contains no data")
         
-        print(f"✅ Extracted {len(df)} rows and {len(df.columns)} columns")  # TODO: Use logging instead of print
+        logging.info(f"✅ Extracted {len(df)} rows and {len(df.columns)} columns")  # TODO: Use logging instead of print
         return df
         
     except pd.errors.EmptyDataError:
diff --git a/app/etl/load.py b/app/etl/load.py
index 97936f9..548b357 100644
--- a/app/etl/load.py
+++ b/app/etl/load.py
@@ -1,9 +1,14 @@
 import pandas as pd
 import sqlite3
 import os
+import logging
 # TODO (Find & Fix)
 from typing import Optional
 
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(levelname)s - %(message)s"
+)
 def load(df: pd.DataFrame, db_path: str = "etl_data.db", table_name: str = "processed_data"):
     """
     Loads data into SQLite database with proper error handling and upsert logic.
@@ -14,10 +19,10 @@ def load(df: pd.DataFrame, db_path: str = "etl_data.db", table_name: str = "proc
         table_name: Name of the table to create/update
     """
     if df.empty:
-        print("⚠️ Warning: Empty DataFrame received, nothing to load")  # TODO (Find & Fix)
+        logging.warning("⚠️ Warning: Empty DataFrame received, nothing to load")  # TODO (Find & Fix)
         return
     
-    print(f"🔄 Loading {len(df)} rows into database '{db_path}'")  # TODO (Find & Fix)
+    logging.info(f"🔄 Loading {len(df)} rows into database '{db_path}'")  # TODO (Find & Fix)
     
     # Ensure directory exists
     db_dir = os.path.dirname(db_path)
@@ -50,13 +55,21 @@ def load(df: pd.DataFrame, db_path: str = "etl_data.db", table_name: str = "proc
             updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
         )
         """)
+        columns = ", ".join(df.columns)
+        placeholders = ", ".join(["?"] * len(df.columns))
+        update_clause = ", ".join([f"{col}=excluded.{col}" for col in df.columns if col != "employee_id"])
+
+        sql_query = f"""
+        INSERT INTO {table_name} ({columns})
+        VALUES ({placeholders})
+        ON CONFLICT(employee_id) DO UPDATE SET {update_clause};
+        """
 
         data_to_insert = [tuple(row) for row in df.itertuples(index=False, name=None)]
-        placeholders = ", ".join(["?"] * len(df.columns))
-        column_names = ", ".join(df.columns)
-        sql_query = f"INSERT OR IGNORE INTO {table_name} ({column_names}) VALUES ({placeholders})"
         cursor.executemany(sql_query, data_to_insert)
         conn.commit()
+
+        logging.info(f"Successfully loaded {len(df)} records into '{table_name}'.")
         # TODO (Find & Fix): Bulk insert without checking for duplicates
 
         
diff --git a/app/etl/transform.py b/app/etl/transform.py
index 13887c6..c197014 100644
--- a/app/etl/transform.py
+++ b/app/etl/transform.py
@@ -1,8 +1,16 @@
 import pandas as pd
+import logging
 from datetime import datetime
 # TODO (Find & Fix)
 from typing import Optional
 
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
 def transform(df: pd.DataFrame) -> pd.DataFrame:
     """
     Transform data by cleaning and standardizing it.
@@ -14,31 +22,38 @@ def transform(df: pd.DataFrame) -> pd.DataFrame:
         Transformed DataFrame
     """
     if df.empty:
+        raise ValueError("DataFrame is Empty.")
         # TODO (Find & Fix): Should raise a ValueError if DataFrame is empty
-        pass
+        
     
     # Create a copy to avoid modifying original
     df_transformed = df.copy()
     
-    print(f"🔄 Starting transformation of {len(df_transformed)} rows")  # TODO (Find & Fix): Use logging instead of print
+    logger.info(f"🔄 Starting transformation of {len(df_transformed)} rows")  # TODO (Find & Fix): Use logging instead of print
     
     # Handle duplicates
     initial_rows = len(df_transformed)
-    # TODO (Find & Fix): Duplicates are not removed
+    df_transformed.drop_duplicates(inplace=True)# TODO (Find & Fix): Duplicates are not removed
     duplicates_removed = initial_rows - len(df_transformed)
     if duplicates_removed > 0:
+        logger.info(f"Removed {duplicates_removed} duplicate rows.")
         # TODO (Find & Fix): Should log how many duplicates were removed
         pass
     
     # Handle null values in numeric columns
     numeric_columns = df_transformed.select_dtypes(include=['number']).columns
     for col in numeric_columns:
+        if df_transformed[col].isnull().any():
+            mean_value = df_transformed[col].mean()
+            df_transformed[col].fillna(mean_value, inplace=True)
         # TODO (Find & Fix): Nulls in numeric columns are not handled
         pass
     
     # Handle null values in text columns
     text_columns = df_transformed.select_dtypes(include=['object']).columns
     for col in text_columns:
+        if df_transformed[col].isnull().any():
+            df_transformed[col].fillna("Unknown", inplace=True)
         # TODO (Find & Fix): Nulls in text columns are not handled
         pass
     
@@ -47,8 +62,15 @@ def transform(df: pd.DataFrame) -> pd.DataFrame:
                    if any(keyword in col.lower() for keyword in ['date', 'time', 'created', 'updated'])]
     
     for col in date_columns:
-        # TODO (Find & Fix): Date columns are not standardized
-        pass
+        df_transformed[col] = pd.to_datetime(df_transformed[col], errors='coerce')
+        if df_transformed[col].isnull().any():
+            median_date = df_transformed[col].median()
+            df_transformed[col].fillna(median_date, inplace=True)# TODO (Find & Fix): Date columns are not standardized
+        
+    for col in text_columns:
+        df_transformed[col] = df_transformed[col].astype(str).str.strip().str.lower()
+    
+    logger.info("Transformation completed successfully.")
     
     # TODO (Find & Fix): Text columns are not cleaned (strip, lowercase)
     return df_transformed
\ No newline at end of file
diff --git a/app/main.py b/app/main.py
index e61920b..d24ed28 100644
--- a/app/main.py
+++ b/app/main.py
@@ -1,7 +1,12 @@
+import logging
 from app.etl.extract import extract
 from app.etl.transform import transform
 from app.etl.load import load
 
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(levelname)s - %(message)s"
+)
 def run_pipeline(csv_path: str = "data.csv", db_path: str = "etl_data.db"):
     """
     Run the complete ETL pipeline.
@@ -11,41 +16,46 @@ def run_pipeline(csv_path: str = "data.csv", db_path: str = "etl_data.db"):
         db_path: Path to the output SQLite database
     """
     try:
-        print("🚀 Starting ETL Pipeline")  # TODO (Find & Fix): Use logging instead of print
-        print(f"📁 Input file: {csv_path}")
-        print(f"🗄️ Output database: {db_path}")
-        print("-" * 50)
+        logging.info("🚀 Starting ETL Pipeline")  # TODO (Find & Fix): Use logging instead of logging.info
+        logging.info(f"📁 Input file: {csv_path}")
+        logging.info(f"🗄️ Output database: {db_path}")
+        logging.info("-" * 50)
         
         # Extract
-        print("📥 STEP 1: EXTRACT")
+        logging.info("📥 STEP 1: EXTRACT")
         df = extract(csv_path)
-        print(f"✅ Extracted {len(df)} rows")
-        print(f"📊 Columns: {list(df.columns)}")
-        print()
+        logging.info(f"✅ Extracted {len(df)} rows")
+        logging.info(f"📊 Columns: {list(df.columns)}")
+        logging.info("-" * 50)
+
         
         # Transform
-        print("🔄 STEP 2: TRANSFORM")
+        logging.info("🔄 STEP 2: TRANSFORM")
         df_transformed = transform(df)
-        print(f"✅ Transformed data ready")
-        print()
+        logging.info(f"✅ Transformed data ready")
+        logging.info("-" * 50)
+
         
         # Load
-        print("📤 STEP 3: LOAD")
+        logging.info("📤 STEP 3: LOAD")
         load(df_transformed, db_path)
-        print()
+        logging.info("-" * 50)
+
         
-        print("🎉 ETL Pipeline completed successfully!")
-        print(f"📈 Final dataset: {len(df_transformed)} rows, {len(df_transformed.columns)} columns")
+        logging.info("🎉 ETL Pipeline completed successfully!")
+        logging.info(f"📈 Final dataset: {len(df_transformed)} rows, {len(df_transformed.columns)} columns")
         
     except FileNotFoundError as e:
-        print(f"❌ File Error: {e}")
+        logging.error(f"❌ File Error: {e}")
 
     except ValueError as e:
+        logging.error(f"⚠️ Value Error: {e}")
+        raise
         # TODO (Find & Fix): Error handling missing
-        pass
+        
     except Exception as e:
         # TODO (Find & Fix): Error handling missing
-        pass
+        logging.exception(f"🔥 Unexpected error: {e}")
 
 if __name__ == "__main__":    
     # Run the pipeline
diff --git a/package-lock.json b/package-lock.json
index 300a1b2..495dc50 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,5 +1,5 @@
 {
-  "name": "template",
+  "name": "ETL-opcode-Ay",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
@@ -11,135 +11,43 @@
       }
     },
     "node_modules/@babel/code-frame": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.23.5.tgz",
-      "integrity": "sha512-CgH3s1a96LipHCmSUmYFPwY7MNx8C3avkq7i4Wl3cfa662ldtUe4VM1TPXX70pfmrlWTb6jLqTYrZyT2ZTJBgA==",
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
+      "integrity": "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
-        "@babel/highlight": "^7.23.4",
-        "chalk": "^2.4.2"
+        "@babel/helper-validator-identifier": "^7.27.1",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.1.1"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/code-frame/node_modules/ansi-styles": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
-      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
-      "dev": true,
-      "dependencies": {
-        "color-convert": "^1.9.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/chalk": {
-      "version": "2.4.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
-      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
-      "dev": true,
-      "dependencies": {
-        "ansi-styles": "^3.2.1",
-        "escape-string-regexp": "^1.0.5",
-        "supports-color": "^5.3.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/color-convert": {
-      "version": "1.9.3",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
-      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
-      "dev": true,
-      "dependencies": {
-        "color-name": "1.1.3"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/color-name": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
-      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
-      "dev": true
-    },
     "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz",
-      "integrity": "sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==",
-      "dev": true,
-      "engines": {
-        "node": ">=6.9.0"
-      }
-    },
-    "node_modules/@babel/highlight": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.23.4.tgz",
-      "integrity": "sha512-acGdbYSfp2WheJoJm/EBBBLh/ID8KDc64ISZ9DYtBmC8/Q204PZJLHyzeB5qMzJ5trcOkybd78M4x2KWsUq++A==",
+      "version": "7.28.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz",
+      "integrity": "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==",
       "dev": true,
-      "dependencies": {
-        "@babel/helper-validator-identifier": "^7.22.20",
-        "chalk": "^2.4.2",
-        "js-tokens": "^4.0.0"
-      },
+      "license": "MIT",
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/highlight/node_modules/ansi-styles": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
-      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
-      "dev": true,
-      "dependencies": {
-        "color-convert": "^1.9.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/chalk": {
-      "version": "2.4.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
-      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
-      "dev": true,
-      "dependencies": {
-        "ansi-styles": "^3.2.1",
-        "escape-string-regexp": "^1.0.5",
-        "supports-color": "^5.3.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/color-convert": {
-      "version": "1.9.3",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
-      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
-      "dev": true,
-      "dependencies": {
-        "color-name": "1.1.3"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/color-name": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
-      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
-      "dev": true
-    },
     "node_modules/@commitlint/cli": {
-      "version": "19.1.0",
-      "resolved": "https://registry.npmjs.org/@commitlint/cli/-/cli-19.1.0.tgz",
-      "integrity": "sha512-SYGm8HGbVzrlSYeB6oo6pG1Ec6bOMJcDsXgNGa4vgZQsPj6nJkcbTWlIRmtmIk0tHi0d5sCljGuQ+g/0NCPv7w==",
+      "version": "19.8.1",
+      "resolved": "https://registry.npmjs.org/@commitlint/cli/-/cli-19.8.1.tgz",
+      "integrity": "sha512-LXUdNIkspyxrlV6VDHWBmCZRtkEVRpBKxi2Gtw3J54cGWhLCTouVD/Q6ZSaSvd2YaDObWK8mDjrz3TIKtaQMAA==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
-        "@commitlint/format": "^19.0.3",
-        "@commitlint/lint": "^19.1.0",
-        "@commitlint/load": "^19.1.0",
-        "@commitlint/read": "^19.0.3",
-        "@commitlint/types": "^19.0.3",
-        "execa": "^8.0.1",
+        "@commitlint/format": "^19.8.1",
+        "@commitlint/lint": "^19.8.1",
+        "@commitlint/load": "^19.8.1",
+        "@commitlint/read": "^19.8.1",
+        "@commitlint/types": "^19.8.1",
+        "tinyexec": "^1.0.0",
         "yargs": "^17.0.0"
       },
       "bin": {
@@ -150,12 +58,13 @@
       }
     },
     "node_modules/@commitlint/config-conventional": {
-      "version": "19.1.0",
-      "resolved": "https://registry.npmjs.org/@commitlint/config-conventional/-/config-conventional-19.1.0.tgz",
-      "integrity": "sha512-KIKD2xrp6Uuk+dcZVj3++MlzIr/Su6zLE8crEDQCZNvWHNQSeeGbzOlNtsR32TUy6H3JbP7nWgduAHCaiGQ6EA==",
+      "version": "19.8.1",
+      "resolved": "https://registry.npmjs.org/@commitlint/config-conventional/-/config-conventional-19.8.1.tgz",
+      "integrity": "sha512-/AZHJL6F6B/G959CsMAzrPKKZjeEiAVifRyEwXxcT6qtqbPwGw+iQxmNS+Bu+i09OCtdNRW6pNpBvgPrtMr9EQ==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
-        "@commitlint/types": "^19.0.3",
+        "@commitlint/types": "^19.8.1",
         "conventional-changelog-conventionalcommits": "^7.0.2"
       },
       "engines": {
@@ -163,12 +72,13 @@
       }
     },
     "node_modules/@commitlint/config-validator": {
-      "version": "19.0.3",
-      "resolved": "https://registry.npmjs.org/@commitlint/config-validator/-/config-validator-19.0.3.tgz",
-      "integrity": "sha512-2D3r4PKjoo59zBc2auodrSCaUnCSALCx54yveOFwwP/i2kfEAQrygwOleFWswLqK0UL/F9r07MFi5ev2ohyM4Q==",
+      "version": "19.8.1",
+      "resolved": "https://registry.npmjs.org/@commitlint/config-validator/-/config-validator-19.8.1.tgz",
+      "integrity": "sha512-0jvJ4u+eqGPBIzzSdqKNX1rvdbSU1lPNYlfQQRIFnBgLy26BtC0cFnr7c/AyuzExMxWsMOte6MkTi9I3SQ3iGQ==",
       "dev": true,
+      "license": "MIT",
       "dependencies": {
-        "@commitlint/types": "^19.0.3",
+        "@commitlint/types": "^19.8.1",
         "ajv": "^8.11.0"
       },
       "engines": {
@@ -176,12 +86,13 @@
       }
     },
     "node_modules/@commitlint/ensure": {
-      "version": "19.0.3",
-      "resolved": "https://registry.npmjs.org/@commitlint/ensure/-/ensure-19.0.3.tgz",
-      "integrity": "sha512-SZEpa/VvBLoT+EFZVb91YWbmaZ/9rPH3ESrINOl0HD2kMYsjvl0tF7nMHh0EpTcv4+gTtZBAe1y/SS6/OhfZzQ==",
+      "version": "19.8.1",
+      "resolved": "https://registry.npmjs.org/@commitlint/ensure/-/ensure-19.8.1.tgz",
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