Project Case Studies
Real-world database and data engineering projects showcasing expertise in high availability, performance optimization, and scalable data pipelines.
PostgreSQL High Availability Cluster
I designed and implemented a fault-tolerant PostgreSQL cluster with automatic failover, achieving 99.99% uptime for a critical financial application.
- •99.99% uptime over 18 months
- •Planned maintenance: hours → seconds
Change Data Capture Pipeline with Kafka
I built a real-time CDC pipeline using Debezium and Kafka to stream database changes to downstream systems, enabling real-time analytics and data synchronization.
- •Latency: 24 hours → <1 second
- •95% fewer overselling incidents
SQL Server Performance Optimization
I did comprehensive performance tuning of a struggling SQL Server instance, reducing query times by 85% and eliminating daily timeout errors.
- •85% faster queries
- •Peak CPU: 100% → 35%
ETL Modernization with Apache Airflow
I migrated legacy ETL processes from cron jobs and stored procedures to Apache Airflow, improving reliability, observability, and maintainability.
- •ETL success rate: 87% → 99.5%
- •MTTR: 4 hours → 20 minutes
SQL Server to Azure SQL Migration
I executed a zero-downtime migration of a 2TB SQL Server database from on-premises to Azure SQL Database, with complete application compatibility.
- •Cutover downtime: 4 minutes (read-only)
- •Monthly infra costs: -35%
Comprehensive Database Monitoring Platform
I built a centralized monitoring and alerting platform for a multi-database environment, providing visibility into performance, availability, and capacity across 50+ database instances.
- •MTTD: hours → minutes
- •Prevented 12+ outages in 6 months
Project Impact
Measurable results across all engagements