// Full Stack · SFMC · Cloud Engineering · Data & Analytics
Started in full-stack, went deep into Salesforce and marketing automation, and now I'm moving into cloud engineering and data. Each step was deliberate — and the throughline has always been the same: solving problems that sit at the edge of what platforms can do out of the box.
Companies I've worked with
Not a straight line — but every step connected to the next.
This is where I got my hands dirty. I built web apps end-to-end — from the UI down to the database — and picked up the habit of caring about how all the pieces fit together, not just the part I owned.
I went deep into Salesforce — really deep. Marketing Cloud, Sales Cloud, Experience Cloud, Data Cloud, Commerce Cloud. I spent years figuring out how to make these platforms talk to each other, and how to build things inside them that actually work at scale.
The natural next move. I'm building on everything I know about integrations and data to go deeper into cloud infrastructure — AWS, Terraform, serverless, pipelines. The Salesforce background gives me an angle most cloud engineers don't have.
Spanning frontend, Salesforce platforms, cloud infrastructure, and data tooling.
A mix of live work, proof-of-concepts, and ongoing builds.
Personalized, token-authenticated, expiring promo code system built on SFMC CloudPages with AMPscript data logic and Data Extension integrations.
XML/JSON-driven dynamic email development using AMPscript — product carousels, personalised recommendations, and real-time inventory states.
Banking-grade client onboarding portal built on Experience Cloud with multi-step form validation, document upload, and approval workflows.
React and LWC-powered B2B commerce portal with Salesforce CRM integration — product catalogues, quote generation, and order management.
Serverless event-driven pipeline connecting Salesforce platform events to AWS Lambda, S3, and DynamoDB — real-time data sync and processing.
End-to-end analytics pipeline: ingestion → transformation → reporting dashboard. Built on AWS services with business KPI visualizations.
Add your next project here — an AI-powered feature, ML experiment, or cloud-native application. Update this placeholder when you ship.
Another open placeholder. Swap in a side project, open-source contribution, freelance engagement, or personal experiment when ready.
Formal credentials earned and the roadmap ahead.
Open to cloud engineering roles, Salesforce + AWS integration projects, data engineering opportunities, and interesting collaborations. Based in Canada, working globally.
Currently exploring cloud engineering roles and consulting engagements — particularly those at the intersection of Salesforce ecosystems and AWS architecture. Remote-friendly.