Senior Technical Program Manager

I direct end-to-end delivery for enterprise, cloud-native, and data-platform initiatives across AWS and Azure. I align engineering, QA, infrastructure, product, and business stakeholders while managing delivery health, operational performance, risks, and dependencies.

I built Python and Jira REST API automation that reduced manual reporting effort by 80% and saved more than 40 hours per month. I also designed incident-management workflows, coordinated four data pipelines across Databricks and SQL environments, and contributed to API integration and AI-enabled workflow initiatives.

I managed high-severity production incidents across global engineering organizations and improved MTTR by 30%. I led recurring-incident analysis, root-cause reviews, escalation processes, and operational communications that reduced repeat incidents by 25%.

I implemented observability using Datadog, Prometheus, ELK, and cloud-native monitoring, improving incident detection by 40%. I also automated operational workflows with Python and REST APIs and supported enterprise SaaS microservices running on Kubernetes across AWS, Azure, and IBM Cloud.

I oversaw multiple concurrent engineering initiatives for highly available telecommunications platforms. I coordinated more than 60 engineering, QA, and operations professionals across the Americas, Asia, Europe, and Africa throughout software implementation lifecycles.

I improved sprint predictability from 65% to 85% by embedding operational risk management into delivery planning. I also drove more than 15 API integrations between telecommunications platforms and customer-facing systems and led executive communications during incidents and delivery reviews.

I directed cloud modernization, CI/CD transformation, automation, and AWS migration initiatives with platform engineering teams. My work included cloud governance, release management, executive reporting, and cross-functional delivery coordination.

I helped reduce failed deployments by 35% and improve release consistency by 25% through CI/CD and release-process improvements. I also developed Python, JavaScript, SQL, and Jira API automation that reduced reporting effort by 80% and supported microservices, chatbot, and AI-enabled automation initiatives.

I led infrastructure modernization efforts for mission-critical systems and improved on-time delivery from 65% to 85% through Agile implementation. I coordinated technical teams, delivery plans, risks, and stakeholder communications for enterprise initiatives.

I automated operational reporting to reduce manual effort by 60% and coordinated REST API integrations. I also supported modernization efforts that moved monolithic systems toward service-oriented architectures.

I led enterprise technical support operations in a 24/7 production environment. I managed incident escalations, support workflows, operational reporting, and team coordination for business-critical systems.

I reduced ticket resolution time by 25% and improved reporting and workflow efficiency through automation. My role strengthened my experience in production support, incident management, and service delivery.

I provided enterprise application support, troubleshooting, and production operations services for global customers. I investigated technical issues, supported incident resolution, and worked within structured support processes.

This role established my foundation in enterprise systems, customer support, operational troubleshooting, and production environment management.

I have delivered more than 3,000 hours of instructor-led enterprise technical training in over 300 virtual sessions across AMER, EMEA, and APAC. I teach through learning partners LearnQuest and Netec for clients including IBM and Walmart.

My training covers SRE, Kubernetes, Docker, AWS, Azure, Databricks, IBM MQ, Db2, observability, REST APIs, DevOps, CI/CD, and production support. I have designed hands-on labs for more than 100 courses to simulate production deployments, incidents, and troubleshooting scenarios.

Master Cum Laude.

Master Cum Laude.

Bachelor's degree in Computer Science completed in Costa Rica.