Support Engineer delivering enterprise MySQL/PostgreSQL/MongoDB solutions for Fortune 500 companies where downtime costs thousands per minute. Successfully saved 200+ databases from the dreaded ’table full’ error.

Business Challenge #

Provide rapid expert intervention for mission-critical databases experiencing performance degradation, replication issues, or emergency failures that threaten business continuity.

Technical Expertise #

Emergency Response

• Diagnosed and resolved 200+ critical database incidents
• Maintained <2 hour response SLA for P1 issues
• Prevented data loss through rapid corruption recovery

Performance Engineering

• Query optimization improving response times by 50-300%
• Scaling strategies for high-traffic AWS deployments
• Proactive monitoring preventing emergency situations Knowledge Transfer
• Developed automation scripts reducing manual tasks
• Created operational runbooks for client teams
• Mentored 15+ engineering teams on best practices

Technologies Mastered #

• Databases: MySQL (5.6-8.0), MongoDB (3.x-5.x), AWS Aurora RDS
• Monitoring: Prometheus, PMM, Custom alerting solutions
• Automation: Python/Bash scripts for common operations
• Platforms: AWS, Docker, Bare metal

Business Impact #

• Availability: Prevented millions in potential downtime losses
• Performance: Enabled business growth through optimized queries
• Knowledge: Empowered client teams with sustainable practices
• Efficiency: Automated solutions saving 100+ hours monthly
• Stress Reduction: Prevented countless 3am wake-up calls

Key Insights #

1. Monitoring prevents emergencies: Proactive metrics beat reactive fixes
2. Query optimization multiplies value: One optimized query outperforms hardware upgrades
3. Documentation saves critical time: Clear runbooks enable rapid resolution
4. Backup testing is mandatory: Theoretical recovery plans fail in practice