Professional Journey #

From Oracle DBA during the Y2K era to modern cloud-native Platform SRE practices—25+ years engineering systems that scale. I specialize in transforming infrastructure challenges into business advantages through automation, optimization, and reliability engineering practices.

Technical Leadership #

Database Architecture & Performance
Deep expertise across MySQL, PostgreSQL, MongoDB, and Oracle. Specializing in query optimization, high-availability designs, and zero-downtime migrations for systems processing millions of daily transactions. Yes, I’ve even debugged Oracle RAC at 3am (and lived to tell the tale).

Cloud Infrastructure & Automation
AWS expertise with extensive EKS/ECS experience. Full Infrastructure as Code using Terraform, GitOps workflows, and self-healing systems that prevent issues before they impact users.

Monitoring & Reliability
Prometheus-based observability stacks with intelligent alerting. Focus on SLI/SLO-driven reliability and automated incident response that maintains 99.9%+ uptime.

Career Progression #

Audiense (2021-Present)
Site Reliability Engineer architecting social intelligence infrastructure. Managing AWS multi-service environments processing billions of profiles with sub-second response times.

Percona (2020-2021)
Support Engineer resolving critical database emergencies for Fortune 500 companies. Specialized in MySQL/MongoDB performance optimization with <2-hour response SLA.

Centraldereservas.com (2018-2020)
Senior DBA optimizing travel booking platforms. Reduced search times from 3s to 800ms while maintaining 99.95% uptime during peak seasons.

Nologin Consulting (2009-2018)
Database consultant serving 50+ enterprise clients across telecommunications, manufacturing, and finance. Led critical migrations and performance optimization projects.

Core Values #

• Business Impact: Technology decisions driven by measurable outcomes
• Continuous Learning: From mainframes to microservices, always evolving
• Automation First: If it’s done twice, it should be automated
• Knowledge Sharing: Success measured by team growth and capability
• Coffee Consumption: Directly proportional to system reliability

Technical Stack #

Languages: Python, Shell scripting, SQL
Databases: MySQL, PostgreSQL, MongoDB, Oracle, Redis
Cloud/DevOps: AWS, Kubernetes, Docker, Terraform, GitHub Actions
Monitoring: Prometheus, Grafana, ELK Stack, Custom alerting
Essential Tools: vim, tmux, and an unreasonable amount of terminal tabs

Building tomorrow’s infrastructure with today’s best practices (and yesterday’s caffeine).