Success StoriesCloud Integration for Largest Independent Real Estate Brokerage
#1 brokerage in the US with 26K agents across 67 markets
Business Need
Objectives Driving Transformation
An independent real estate brokerage required a modern cloud data warehouse to centralize operational, transactional, and customer feedback data. The organization sought to integrate online platforms and third-party vendor applications to capture real-time transaction activity and client sentiment. Legacy Python-based ETL processes needed to be converted to a cloud-native integration platform leveraging AWS Redshift, enabling scalable analytics, improved data accessibility, and operational efficiency across the business.
- Implement a cloud-based data warehouse architecture
- Integrate online applications and third-party vendor systems in real time
- Convert legacy Python ETL processes to cloud-native data integration
- Improve access to high-volume transactional and customer feedback data
- Enable scalable analytics for business performance insights
- Reduce manual effort and technical complexity
Establish a scalable cloud data warehouse and real-time integration framework to enable data-driven decision-making across high-volume digital transactions.
Challenge
Barriers to Progress
The brokerage operated with complex Python ETL workflows lacking formal data models or system documentation, creating operational fragility and limiting scalability. Online application data resided in NoSQL databases and disparate third-party vendor platforms, complicating integration efforts. The environment processed approximately 100 million online transactions per day, requiring high-performance ingestion and synchronization. Limited in-house analytics expertise further increased delivery risk and constrained modernization efforts.
- 100M+ online transactions per day requiring scalable processing
- Complex, undocumented Python ETL pipelines
- No centralized data model or system documentation
- Data distributed across NoSQL databases and third-party vendor platforms
- Limited internal analytics and cloud integration expertise
- Manual and inefficient legacy integration processes
Solution & Results
What Paradigm Enabled
Paradigm implemented Informatica Cloud Data Integration (CDI) to enable real-time integration of Qualtrics feedback, survey systems, and MongoDB into AWS Redshift. Over 100 complex Python ETL workflows were converted into scalable CDI mappings and replication tasks, establishing a governed and maintainable cloud integration framework. Automated ingestion pipelines reduced operational effort while increasing data availability for business users, enabling real-time insights and workforce optimization opportunities.
- 100+ complex Python ETL processes successfully converted to AWS Redshift via CDI
- 63% increase in enterprise data accessibility
- Real-time integration across online applications and third-party platforms
- 2x reduction in manual client effort through automation
- Scalable cloud data warehouse supporting 100M+ daily transactions
- Foundation established for workforce optimization and advanced analytics
The brokerage now operates with a modern, cloud-based analytics ecosystem that enhances data visibility, improves operational agility, and supports scalable growth in a high-volume digital real estate environment.
63%
Increase in data access
2X
Reduction in client integration effort