Real Estate Import System
A robust import pipeline for ingesting and validating external real estate data from multiple companies with full safety, validation, and rollback mechanisms.
Context
An import system designed to integrate external real estate data sources into a centralized platform, ensuring consistency, correctness, and system safety during large-scale data ingestion.
My Role
- Designed and implemented the full import pipeline architecture
- Developed multi-layer validation system for incoming datasets
- Implemented automatic backup and rollback mechanisms for data safety
System Overview
- Imports real estate data from multiple external companies
- Pre-import validation includes format checks and data integrity validation
- Invalid imports are blocked before execution
- File encoding validation with filtering of unsupported 4-byte characters
- Automatic database backup is created before every import operation
- Rollback system restores previous state in case of failure
- Manual restore option available for administrative control
- Intelligent property detection determines whether to update or create new records
- New properties are created with a 'pending review' status if not existing
- Data normalization ensures consistent numeric formats across imports
- Real-time progress tracking shows import status during execution
Challenges & Solutions
Ensuring data integrity from external sources
Problem: External data sources provided inconsistent formats, encoding issues, and unreliable numeric representations.
Solution: Implemented strict pre-import validation including format checking, encoding validation, and data normalization rules.
Preventing data corruption during import failures
Problem: Large-scale imports posed a risk of partial failures leading to inconsistent database states.
Solution: Introduced automatic database snapshot creation before each import and implemented a rollback system for full state recovery.
Result: Ensured zero-risk imports with full recoverability in case of system errors.
Handling mixed update and insert logic
Problem: The system needed to distinguish between new and existing properties during import.
Solution: Built an intelligent matching system that determines whether to create new entries or update existing ones based on multi-factor comparisons.
Impact
- Enabled safe and reliable large-scale data imports from multiple external providers
- Eliminated risk of data corruption through automated backup and rollback system
- Improved data consistency through normalization of inconsistent external formats
- Increased operational transparency with real-time import progress tracking
- Reduced manual data correction through automated validation rules