Vice President Analytics Engineering
CurrentAchievements: • Sharpened self-healing system monitoring, reducing system downtime by 30% and enhancing overall reliability, ensuring uninterrupted operations for critical applications, and conducting root cause analysis for each incident. • Implemented chaos engineering, systematically injecting controlled failures into our systems, resulting in a 30% reduction in unexpected downtime and a 15% increase in system resilience. This proactive approach saved the company in potential revenue loss annually from monetary SLA. • Automated cross-application dependent tasks, reducing manual workload by 50% and improving system reliability. • Streamlined CI/CD pipelines, cutting deployment times by 30% and enhancing deployment safety. • Conducted capacity planning, optimizing resource allocation and reducing infrastructure costs by 20% for legacy on-prem applications. • Automated complex maintenance activities across multiple tiers and environments, reducing manual effort by 80%. • Spearheaded a cost reduction of 30% in admin time by creating Ansible scripts & reduced 27% bugs. • Attained rapid career progression, securing promotions reflecting exceptional dedication and performance. Responsibilities: • Architect and manage Kubernetes-based microservices infrastructure and applications on Azure cloud along with on-prem legacy applications with technical debts, achieving a 30% reduction in system downtime.• Built Infrastructure as Code (IaC) with Terraform, reducing infrastructure provisioning time by 40% and ensuring 100% configuration consistency. • Strengthened security measures, ensuring compliance standards. • Mentored junior engineers, improving error budgeting skills, SLOs and SLIs resulting in a 30% drop in incidents. • Facilitating a feedback loop for developers by developing quality frameworks to enhance contribution & boost quality.Projects:Kubernetes MigrationCloud Migration