Real-Time Data Pipeline for Enhanced Property Insights in Commercial Real Estate

In the dynamic commercial real estate market, timely and accurate data is crucial for informed decision-making. We are a scale-up focusing on transforming property management and investment strategies through advanced data analytics. This project seeks to build a real-time data pipeline that can ingest, process, and present property-related data efficiently. Utilizing technologies such as Apache Kafka for event streaming, Spark for real-time processing, and Snowflake for data warehousing, the project will integrate various data sources like IoT sensors, market trends, and transactional data into a cohesive system. Additionally, the implementation of Apache Airflow will automate data workflows, while dbt will ensure data transformation integrity. The primary goal is to provide our analysts and decision-makers with up-to-date insights, enabling proactive asset management and enhancing portfolio performance. With a budget ranging from $15,000 to $50,000 and a timeline of 8-12 weeks, this project prioritizes timely delivery and a high degree of data accuracy.