Devops Engineer
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I am a Cloud and DevOps Engineer with over 8 years of experience designing, operating, and scaling robust AWS and GCP infrastructure. Throughout my career, I've specialized in building resilient platforms and automated CI/CD pipelines that can handle high-throughput workloads—supporting systems that process over 1,000 TPS and tens of millions of events daily.
Having operated as the sole DevOps engineer for mission-critical production systems, I thrive in environments that require high autonomy and end-to-end technical ownership. One project I'm particularly proud of is rebuilding Apache Superset from a fragile, manually-managed instance into a fully automated, production-grade deployment using Terraform, Packer, and Docker Compose—giving the data team a reliable, self-service analytics platform they could depend on.
I am passionate about Terraform, reliability engineering, cost optimization, and establishing "paved roads" that empower engineering teams to deploy securely and efficiently.
Core Competencies: AWS, GCP, Terraform, CI/CD Automation (GitHub Actions), Docker, ECS, Apache Superset, System Reliability, and Database Management (Redshift, PostgreSQL, MSSQL).
DevOps Engineer Mobivity | Jun 2018 – Present
Technical Leadership: Operated as the sole DevOps engineer for nearly two years, owning production infrastructure, security, and reliability across multi-cloud (AWS/GCP) environments. Served as the primary technical resource across engineering, data, and operations.
Infrastructure & Automation: Migrated 20+ microservices and serverless workloads to Terraform and GitHub Actions, standardizing CI/CD pipelines and drastically reducing deployment times.
High-Throughput Systems: Architected the infrastructure for a highly-scaled offer and promotion wallet system (contracted with Subway), handling over 1,000 TPS at peak and processing 10+ million offers nightly on ECS and RDS PostgreSQL.
Data Platform & Apache Superset: Rebuilt Apache Superset from a fragile, manually-managed instance into a production-grade, auto-scaling deployment using Terraform, Packer, and Docker Compose on ALB/EC2 ASG—providing the data team with a reliable, self-service BI and analytics platform. Partnered with data teams to maintain complex ETL and streaming pipelines using Kinesis Data Streams, Firehose, EMR, and MWAA.
Reliability & Optimization: Designed fault-tolerant architectures utilizing SQS dead-letter queues and automated redrive logic. Right-sized infrastructure globally and leveraged Spot Instances to significantly reduce cloud spend.
Security & Compliance: Migrated legacy IAM users to AWS IAM Identity Center and Google SAML identity federation. Built automated compliance scanners to audit AWS accounts for tagging violations and unused resources.
Software Engineering Intern Mobivity | Jan 2018 – May 2018
Contributed to application development and foundational engineering support before transitioning into a full-time DevOps infrastructure role.
W. P. Carey School of Business, Arizona State University
Bachelor of Science, Computer Information Systems
Bachelor of Science, Supply Chain Management
