Real-Time Data Infrastructure for Enhanced Property Insights

In the rapidly evolving PropTech industry, the ability to deliver real-time insights is crucial for maintaining a competitive edge. Our company, an SME specializing in property analytics, is looking to overhaul its data engineering capabilities to meet growing market demands. This project will involve designing and implementing a real-time data pipeline using Apache Kafka for event streaming, Apache Spark for processing, and Snowflake for data warehousing. With the integration of Airflow for orchestration and dbt for data transformation, our goal is to achieve a seamless data flow that supports advanced analytics and machine learning operations (MLOps). This infrastructure will enable us to offer property managers and investors timely insights into market trends, occupancy rates, and investment opportunities. By enhancing our data capabilities, we aim to improve decision-making processes and provide a superior service to our customers. The project is expected to take 8-12 weeks and requires a budget of $25,000 to $75,000. We’re seeking experts in data engineering with experience in real-time analytics and data mesh architectures to help us deliver this critical solution.