Senior DBA optimizing database infrastructure for the pioneer of Spain’s online travel agencies, processing millions of transactions. Zero angry tourists during database maintenance.

Business Challenge #

Scale database infrastructure to handle unpredictable booking spikes while maintaining sub-second search times across millions of hotel properties and enabling ML-driven for resolve complext problems.

Technical Excellence #

Performance Architecture

• MySQL clusters processing 10,000+ bookings/hour
• Search optimization reducing response time from 3s to 800ms
• Automated failover ensuring zero-downtime deployments

Data Intelligence

• ETL pipelines integrating multiple GDS systems
• ML-optimized schemas for dynamic pricing algorithms
• Real-time inventory synchronization across platforms

Operational Excellence

• Prometheus monitoring with predictive alerting
• Query optimization across billion-row datasets
• Caching strategies handling 10x traffic spikes

Technology Stack #

MySQL (Master-Slave replication), MongoDB, Python ETL, Prometheus/Grafana, Red Hat Linux

Business Impact #

• Speed: 73% reduction in search response times
• Reliability: 99.95% uptime during peak booking seasons
• Revenue: 25% increase in recommendation CTR through ML
• Efficiency: 30% reduction in infrastructure costs
• Scale: Zero-downtime handling of holiday traffic spikes

Strategic Insights #

1. E-commerce demands specialized indexing: Multi-column indexes on date/location/price are non-negotiable
2. Inventory accuracy requires ACID: Eventual consistency loses bookings
3. ML workloads need isolation: Separate analytics from transactional systems
4. Business metrics drive technical decisions: Monitor conversion funnels alongside database performance