Experience

Ensured the reliability, availability, and performance of database systems supporting 1M+ monthly transactions across multiple environments, working closely with software and platform teams.

• Designed and operated high-availability PostgreSQL clusters across development, QA, staging, and production environments.
• Led PostgreSQL version upgrade strategies ensuring zero data loss and minimal downtime.
• Implemented CI/CD pipelines (GitLab/Jenkins) for database updates, accelerating deployments by 35%.
• Built backup and restore pipelines achieving a recovery point objective of under 15 minutes.
• Implemented MongoDB replica sets and sharded clusters to handle 50% higher data loads with improved fault tolerance.
• Automated cluster scaling with Kubernetes, reducing downtime by 40% and saving 15+ engineer hours per month.
• Deployed monitoring dashboards with Datadog, Grafana, and CloudWatch, cutting MTTR by 40%.
• Optimized PostgreSQL and MySQL queries, reducing average query times by 30% and improving API throughput.

Project focused on running PostgreSQL on Kubernetes and cloud infrastructure using Terraform, Git, and container best practices.

• Deployed PostgreSQL on Kubernetes/VMs, enabling 99.9% uptime across staging and production environments.
• Automated cloud resource provisioning with Terraform, reducing deployment time from days to under two hours.
• Created and managed Kubernetes namespaces and roles for fine-grained access control and security.
• Tuned Terraform modules and Kubernetes manifests for scalable and secure PostgreSQL deployments.
• Conducted disaster recovery drills and implemented robust backup and recovery strategies.
• Applied container security best practices, including network policies and security contexts.
• Collaborated with cross-functional teams to optimize performance and document best practices.