Priya Raman Senior Database Administrator
Boston, MA • priya.raman@gmail.com • +1 617-555-0182
Profile Summary
- Senior Database Administrator with 8 years of experience operating enterprise SaaS and developer-tooling teams across ticketing, CI/CD, and observability platforms, specializing in high availability, disaster recovery, performance tuning, and zero-downtime change management.
- Well-rounded skill set across relational (PostgreSQL, Oracle), NoSQL (MongoDB), managed cloud (AWS RDS), high availability (Patroni), backup (pgBackRest), schema migrations (Liquibase), and automation (Terraform, Ansible, Python).
- Deep expertise in HA architecture, backup & DR, performance tuning, and change management, leveraging methodologies such as GitOps for DB and compliance audits to drive fast, reliable, and audit-ready database operations across the estate.
- Engaged collaborator working cross-functionally with Platform, SRE, Security, Compliance, and Application teams in regulated SaaS environments, contributing to schema reviews, incident triage, and audit prep with a stability-first mindset.
- Emerging leader who shares technical excellence and fosters a culture of zero-downtime migrations and 99.99% availability through schema-review office hours and DR drills, while leading DBA guild sessions and authoring widely adopted runbook and replication-pattern guides.
Technical Skills
- Relational Databases:
- PostgreSQL, Oracle, SQL Server, MySQL, MariaDB, IBM Db2
- NoSQL & In-Memory:
- MongoDB, Cassandra, DynamoDB, Redis, Elasticsearch
- HA, Replication & Backup:
- Patroni, pgBackRest, Oracle Data Guard, RMAN, Always On AGs, MongoDB replica sets
- Cloud & Managed Services:
- AWS RDS, AWS Aurora, Cloud SQL, Azure SQL, RDS Proxy, AWS Backup
- Performance & Tuning:
- pg_stat_statements, AWR/ASH, SQL Profiler, Performance Insights, EXPLAIN ANALYZE, index tuning
- Security & Compliance:
- TDE, TLS in transit, Kerberos, LDAP, AAD, row-level security, SOX, HIPAA, PCI, GDPR
- Automation & IaC:
- Terraform, Ansible, Python, Bash, PowerShell, Liquibase, Flyway, GitHub Actions
- Monitoring & Observability:
- Datadog, Prometheus + Grafana, CloudWatch, pgwatch2, Sentry, New Relic
Education
Work Experience
- Led the PostgreSQL upgrade program across multi-region AWS RDS, standardizing patch and upgrade workflows and shipping 3 major-version upgrades across 18 clusters with rolling cutovers and zero data loss.
- Owned the backup strategy across the fleet using pgBackRest with point-in-time recovery, validated weekly restores end-to-end, and held RPO ≤ 5 min and RTO ≤ 30 min across two geo-redundant regions.
- Stood up streaming replication with Patroni for automated failover across 18 production clusters, lifting database availability from 99.9% to 99.99%.
- Tuned slow queries using pg_stat_statements and execution-plan analysis, reindexed hot tables, and cut p95 query latency from 840 ms to 120 ms on the orders surface.
- Rolled out encryption at rest with AWS KMS plus row-level security, ran SOX and PCI audits with read-only auditor roles, and closed 47 findings across 3 audit cycles.
- Partnered with platform teams on schema migrations via Liquibase, gated through change windows with rollback playbooks, shipping 220 migrations with 0 prod outages.
- Automated provisioning and routine ops using Terraform and Ansible, replacing ticket-based work with self-service runbooks and cutting on-call toil by 60%.
- Managed Oracle Data Guard standbys for the legacy core, automating switchover and recovery with RMAN and custom Python tooling, cutting failover drill time from 4 hours to 35 minutes.
- Owned capacity planning for a 40 TB estate, partitioning hot tables, archiving cold data to S3, and reclaiming 9 TB of storage while keeping read latency flat.
- Established change management discipline with peer reviews on every DDL and a staging-before-prod gate, holding production-deploy success rate at 99.5% across 180 releases.
- Mentored 2 junior DBAs, authored 6 runbooks (failover, RMAN restore, deadlock triage, replication health, capacity review, audit prep), and ran the on-call rotation for 15 production schemas.