Project Overview
Developed a Rails-based ETL pipeline that normalized data from 50+ MLS providers using RETS standards. Sidekiq background jobs ensured high-volume ingestion without performance issues. ElasticSearch centralized indexed property data for sub-second searches. Deduplication algorithms reduced duplicates by 90%, and legacy systems (Rails + Ember + React) were unified into a seamless platform.
Key Challenges
- MLS data integration from 50+ different providers
- Throughput scaling and duplicate listing resolution
- Legacy system unification (Rails + Ember + React)
- Transitioning legacy APIs to modern platforms
- Delivering consistent high-quality IDX data
Technologies & Solutions
Ruby on Rails ETL framework
Sidekiq background jobs
ElasticSearch for indexing and fast queries
MLS RETS standard for data ingestion
Deduplication algorithms
React.js and Ember.js integration
Key Metrics
60% MLS throughput improvement
90% reduction in duplicate listings
400 agent/broker sites optimized
Double-digit traffic increases from higher data quality
Results & Impact
60% MLS throughput improvement, 90% duplicate reduction, consistent IDX data quality across 400+ sites.
Want Similar Results?
Let's discuss how we can help solve your engineering challenges.