Martech Engineer focused on APIs, Marketing automation platforms and practical engineering solutions.

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JavaScript Node.js REST APIs Webhooks GTM Iterable
Featured Work

Projects that solve real problems.

A collection of integrations, automation tools and technical experiments focused on solving practical engineering problems.

PROJECT 01

Iterable Event Analytics

Node.js utility for processing Iterable user events, filtering relevant event types, handling API rate limits and generating structured CSV reports.

Node.js REST API Iterable CSV
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PROJECT 02

E-commerce Tracking Lab

A small e-commerce environment demonstrating browser events, Google Tag Manager, product interactions and conversion tracking.

JavaScript GTM Analytics E-commerce
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PROJECT 03

API Integration Lab

Collection of experiments involving REST APIs, OAuth, authentication, payload transformation and external platform integrations.

REST OAuth JSON APIs
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PROJECT 04

AWS Web Deployment

Personal web application deployed using AWS infrastructure, DNS configuration, HTTPS and custom domain routing.

AWS Route 53 SSL DNS
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E-commerce Martech Lab

Practice real customer journeys.

A dummy e-commerce environment for learning Google Tag Manager, GA4, dataLayer events and conversion tracking.

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Engineering Labs

Things I'm experimenting with.

Small technical experiments where I test new technologies, integrations and ideas before turning them into larger projects.

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GTM Event Tracking

Testing e-commerce events, data layers and tag firing behavior.

Active
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API Experiments

Exploring authentication, payloads, API limits and integration patterns.

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Webhook Testing

Testing event-driven workflows and external API integrations.

Active
About

I have 8+ years of experience working with marketing automation platforms such as Salesforce Marketing Cloud and Iterable. I’m expanding my knowledge across the broader MarTech ecosystem, and this portfolio is where I document the things I’m building, breaking, testing, and learning.

I enjoy taking a business problem, breaking it down into smaller technical problems, building a proof of concept and then turning that solution into something reliable and maintainable.

Understand the problem Start with the business requirement before choosing the technology.
Build small POCs Validate the data flow and integration before scaling.
Test edge cases Errors, missing data and unexpected payloads matter.
Document the solution Good engineering should be understandable by others.
Contact

Let's build something.

Interested in discussing martech technical project and collaboration?

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