diff --git a/data_logging/src/data_logging/main.py b/data_logging/src/data_logging/main.py
new file mode 100644
index 0000000..56a85e0
--- /dev/null
+++ b/data_logging/src/data_logging/main.py
@@ -0,0 +1,96 @@
+import argparse
+import json
+from datetime import datetime
+from pathlib import Path
+from typing import Any, Dict
+import os
+
+
+class LogEntry:
+    """Repräsentiert einen einzelnen Telemetrie-Logeintrag."""
+
+    def __init__(self, timestamp: datetime, temperature: float, wind_speed: float, error_rate: float) -> None:
+        if not isinstance(timestamp, datetime):
+            raise TypeError("timestamp muss datetime sein")
+        if not all(isinstance(v, (float, int)) for v in [temperature, wind_speed, error_rate]):
+            raise TypeError("temperature, wind_speed und error_rate müssen numerisch sein")
+        self.timestamp = timestamp
+        self.temperature = float(temperature)
+        self.wind_speed = float(wind_speed)
+        self.error_rate = float(error_rate)
+
+    def to_json(self) -> Dict[str, Any]:
+        """Gibt die Struktur als JSON-kompatibles Dict zurück."""
+        return {
+            "timestamp": self.timestamp.isoformat(),
+            "temperature": self.temperature,
+            "wind_speed": self.wind_speed,
+            "error_rate": self.error_rate,
+        }
+
+
+def log_data(data: Dict[str, Any]) -> bool:
+    """Protokolliert übergebene Sensordatenobjekte in eine Logdatei."""
+    if not isinstance(data, dict):
+        raise TypeError("data muss ein dict sein")
+    required = {"timestamp", "temperature", "wind_speed", "error_rate"}
+    if not required.issubset(data):
+        raise ValueError(f"Fehlende Felder: {required - set(data.keys())}")
+
+    entry = LogEntry(
+        timestamp=datetime.fromisoformat(data["timestamp"]),
+        temperature=float(data["temperature"]),
+        wind_speed=float(data["wind_speed"]),
+        error_rate=float(data["error_rate"]),
+    )
+
+    output_path = data.get("_output_path")
+    if not output_path:
+        raise ValueError("_output_path muss angegeben werden")
+    output = Path(output_path)
+    output.parent.mkdir(parents=True, exist_ok=True)
+
+    try:
+        if output.exists():
+            with output.open("r", encoding="utf-8") as f:
+                logs = json.load(f)
+            if not isinstance(logs, list):
+                logs = []
+        else:
+            logs = []
+        logs.append(entry.to_json())
+        with output.open("w", encoding="utf-8") as f:
+            json.dump(logs, f, indent=2, ensure_ascii=False)
+        return True
+    except (OSError, json.JSONDecodeError) as e:
+        print(f"Fehler beim Schreiben der Logdatei: {e}")
+        return False
+
+
+def _main() -> None:
+    parser = argparse.ArgumentParser(description="Robot Night Telemetry Logger")
+    parser.add_argument("--input", required=True, help="Pfad zur Eingabe-JSON-Datei mit Sensordaten.")
+    parser.add_argument("--output", required=True, help="Zielpfad für die Protokollausgabe.")
+    args = parser.parse_args()
+
+    input_path = Path(args.input)
+    if not input_path.exists():
+        raise FileNotFoundError(f"Eingabedatei nicht gefunden: {input_path}")
+
+    with input_path.open("r", encoding="utf-8") as f:
+        try:
+            telemetry_data = json.load(f)
+        except json.JSONDecodeError as e:
+            raise ValueError(f"Ungültige Eingabedatei: {e}")
+
+    if isinstance(telemetry_data, dict):
+        telemetry_data = [telemetry_data]
+
+    for record in telemetry_data:
+        if isinstance(record, dict):
+            record["_output_path"] = args.output
+            log_data(record)
+
+
+if __name__ == "__main__":
+    _main()
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