IoT systems often face challenges like device connectivity, data ingestion, and real-time analytics, which can be mitigated by building an efficient data pipeline using technologies such as Redpanda, Apache Iceberg, AWS IoT, ESP32, and Prophet. Redpanda simplifies streaming and application management with compatibility to Apache Kafka APIs, while Apache Iceberg offers scalable data lake storage that supports schema evolution and works seamlessly with various analytics tools. The ESP32, a cost-effective microcontroller, handles sensor data collection, which is securely transmitted to AWS IoT using MQTT. Redpanda Connect facilitates the integration of IoT data into Redpanda topics for storage and further processing, while schema management is streamlined through Redpanda's built-in schema registry. For predictive analytics, the Prophet library provides easy-to-use forecasting capabilities, transforming time-series data into actionable insights without substantial infrastructure complexity or cost. This setup demonstrates that modern IoT data streaming can be both simple and economical, offering businesses valuable foresight without demanding extensive technical expertise or resources.