Data Engineering forReliable, Regulated Systems
I build and run scalable data platforms using PostgreSQL, SQL Server, Kafka, and Apache Airflow. My focus is keeping mission-critical systems available and performant while delivering changes safely.
Systems that actually work
I handle the full lifecycle—from requirements and architecture through implementation and operations. My goal is shipping data systems teams can rely on. I reduce incidents by designing clear failure modes, building strong observability, and automating the repetitive stuff.
What I'm Good At
My core skills in database systems and data engineering
Database Administration
PostgreSQL and SQL Server administration, backup/recovery, security, monitoring, and capacity planning.
ETL/ELT Pipelines
Building scalable data pipelines with Apache Airflow, Python, and modern orchestration frameworks.
Data Streaming & CDC
Real-time data pipelines using Kafka and Debezium for change data capture and event-driven architectures.
High Availability
Designing fault-tolerant clusters with replication, automatic failover, and load balancing for mission-critical systems.
Performance Tuning
Query optimization, indexing strategies, execution plan analysis, and system configuration tuning for maximum performance.
Cloud & DevOps
Experience with AWS, Azure, Docker, Kubernetes, and infrastructure as code for database deployments.
Metrics & Impact
Representative outcomes across engagements
Featured Projects
Selected case studies showcasing database and data engineering expertise
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
Let’s build something reliable
If you’re hiring or need help with database reliability, CDC pipelines, or platform modernization, I’d be happy to talk.
Get in Touch