SPECTR – Centralized Real Estate

SPECTR – Centralized Real Estate Data Intelligence Platform

SPECTR is a centralized data repository platform developed for Stewart Title to unify and provide intelligent access to large-scale property and title data across the United States. It aggregates over 25 million Owner and Lender title policies along with comprehensive data on 140+ million parcels, covering nearly the entire U.S. population.

The platform enables users to efficiently access, analyze, and retrieve critical real estate information including property characteristics, ownership details, addresses, and title policy records. By consolidating fragmented datasets into a single system, SPECTR empowers teams to perform faster research, gain deeper insights, and make more informed, data-driven decisions.

Core Features:

• Centralized repository for 25M+ title policies and 140M+ property records. • Property data lookup including ownership, address, and parcel details. • Physical characteristics and attributes of real estate assets. • Owner and lender title policy information access. • Unified search and data retrieval system. • High-scale data aggregation and management. • Support for real estate research and decision-making workflows. • Enhanced data visibility across U.S. property records.

My Role: • Validated data integrity across 25M+ title policies and 140M+ property records using Snowflake, ensuring accuracy within a platform covering 99.9% of the U.S. population. • Performed API and database validation to verify accurate data synchronization and retrieval across large-scale property and title datasets. • Executed functional, regression, integration, and data validation testing for property search, ownership records, and title policy workflows. • Collaborated with Agile Scrum teams to identify and resolve defects early, improving release quality and platform reliability. • Delivered Sprint Review demonstrations to stakeholders, showcasing completed features and validating business requirements before release.