Project Leadership & Architecture: Spearheaded the successful rewrite of a large ColdFusion application to a cloud-native Python solution hosted on Google Cloud Platform (GCP) as a Cloud Run job. This project involved complete architecture design, implementation, and deployment.

Cloud Infrastructure & Automation: Utilized GCP’s Cloud Build for CI/CD automation, integrating Artifact Registry and Secret Manager for secure and scalable deployment.

Unit Testing & Code Quality: Ensured robust test coverage with comprehensive unit tests, and applied full type hinting to improve code readability, maintainability, and collaboration.

Dashboard Development: Maintained and enhanced a React-based dashboard that visualizes a variety of metrics and graphs. Led the addition of new pages and features to improve the user experience.

High-Volume Data Processing: Developed a Python-based App Engine tag deployed across hundreds of client sites, handling hundreds of thousands of visitors per hour. Successfully managed the storage of large datasets in BigQuery for fast, scalable analytics.

Collaboration & Documentation: Led efforts in improving system documentation and ensuring clear communication of technical decisions to stakeholders and team members.

Technologies: Python, React, Google Cloud Platform (GCP), Cloud Run, Cloud Build, Artifact Registry, BigQuery, CI/CD, Unit Testing

Incorporated custom messaging, chat automation, web notifications, authentication, and payment processing.

Established direct relationships with existing and prospective clients to improve the product based on their needs and provide support by quickly fixing bugs and maintaining the product.

Initiated alignment to best practices and reduction of technical debt in a startup environment, introducing source control, branching strategy, code reviews, improved collaboration and continuous integration

Lead engineering for new front end functionality for seasonal campaign experiences and product

Developed a system for reusable components to decrease code duplication, resulting in increased

Engineered integrations with third-party applications.

Accomplishments featured in Shopify blog post as an example of a “beautiful website.”

Architected a network monitoring tool for a large retail client which included a dashboard ( React ), REST server (Django REST), Database (PostgreSQL ) and data ingestion service ( Python ) each running in a Docker container. The client specifically requested Django and PostgreSQL to be used which required new skillsets to be learned during the sprint cycle.

Tools: React, Typescript, Nodejs, Express, GCP, Azure