Current Position
DevOps Engineer at Pay-i
Bellevue, WA • Feb 2025 — Present
Terraform, Bicep, CloudFormation, Kubernetes, Helm, Docker, Azure DevOps, Azure, AWS, Linux
Established GitOps workflows using Flux on AKS/EKS, automating full CI/CD pipelines for .NET 9 and Python microservices replacing legacy App Service builds.
Engineered multi-cloud IaC strategies (Terraform, Bicep, CloudFormation) to deploy tenant-isolated SaaS environments and AWS/Azure Marketplace solutions.
Deployed a Prometheus & Grafana observability stack alongside CloudWatch/App Insights, visualizing real-time custom metrics and cluster telemetry.
Architected secure hub-and-spoke network topologies utilizing private endpoints, dedicated VPCs/VNets, and strict IAM governance.
Previous Positions
Software Engineer at Ambassador Software
Seattle, WA • Jun 2021 — Feb 2025
Python, Django, PostgreSQL, Redis, Celery, Docker, AWS, GCP, JavaScript, React, BigQuery
Architected and launched a JSON-driven workflow engine (Python/Django/PostgreSQL/Redis/Celery) enabling customers to define custom triggers/actions; expanded the platform from referral-only to a loyalty solution, creating new revenue streams.
Improved reliability and performance: increased uptime from 95% → 99.95% and reduced average response latency by 60% through query optimization, asynchronous job refactoring, and strategic query caching.
Developed a reporting and analytics warehouse with AWS RDS, S3, BigQuery, and Google Apps Script, powering customer data exports and accelerating internal insights.
Integrated external services (Hyperwallet, GoodData), enhancing customer reporting, payments, and analytics workflows.
Redesigned critical APIs around import, exports, and tracking; led the migration of a production service from Node.js to Django for consistency and performance.
Data Science Intern at ContextLink
Seattle, WA (Remote) • Nov 2020 — May 2021
Python, Pulumi, AWS, Pandas, NumPy, scikit-learn
Built an automated data preprocessing workflow using AWS S3 and Lambda to trigger an ordinal encoder for categorical features, improving data consistency and training reliability.
Developed Python utilities for data transformation and feature encoding (Pandas, NumPy, scikit-learn) while learning cloud integration patterns with Pulumi and AWS services.
Education
B.S. Computer Science, Magna Cum Laude
Western Washington University
Bellingham, WA • 2018 — March 2022 • GPA: 3.97
Technical Skills
Backend:
Python, Django, PostgreSQL, Redis, Celery,
DevOps & Tools:
Docker, Kubernetes, Terraform, Azure DevOps, Bicep, CloudFormation, AWS, Azure, GCP, Linux,