Shaleik Cabreja

Owned end-to-end Marketing Cloud Personalization (MCP) implementations for Canada Goose, Purina, ShawContract, Home Depot, and Amsoil, from solution requirements and Sitemap/data architecture through QA, UAT, production deployment, and post-launch validation. Delivered personalized experiences to 1M+ Canada Goose users, contributing to 60% higher lead conversion and 42% revenue growth; supported Amsoil experiences across 100K+ users, reducing cart abandonment 55%. Engineered the MCP web integration layer across Sitemaps, page types, catalogs, attributes, identity, events, Content Zones, and JavaScript instrumentation, connecting website behavior to personalization and customer data.

Salesforce Developer • Fullstack Developer - OSF Digital - Remote

(2023-09 - 2024-11)

• Owned end-to-end Marketing Cloud Personalization (MCP) implementations for Canada Goose, Purina, ShawContract, Home Depot, and Amsoil, from solution requirements and Sitemap/data architecture through QA, UAT, production deployment, and post-launch validation.
• Delivered personalized experiences to 1M+ Canada Goose users, contributing to 60% higher lead conversion and 42% revenue growth; supported Amsoil experiences across 100K+ users, reducing cart abandonment 55%.
• Engineered the MCP web integration layer across Sitemaps, page types, catalogs, attributes, identity, events, Content Zones, and JavaScript instrumentation, connecting website behavior to personalization and customer data.
• Built SFTP-driven catalog ingestion and ETL workflows, transforming enterprise product data and maintaining identifiers, attributes, relationships, and downstream data consistency.
• Developed and deployed web templates, product recommendations, Einstein Recipes, targeting, Rule Sets, experiences, and A/B tests, enabling reusable personalized experiences across production websites.
• Integrated MCP and Salesforce environments with external systems through REST/SOAP APIs and OAuth, troubleshooting data, authentication, and cross-system failures.
• Worked across Marketing Cloud Engagement, including Journey Builder and Email Studio, connecting customer data and content to personalized campaign experiences.
• Diagnosed complex production issues across catalogs, tracking, JavaScript, recommendations, targeting, and campaign analytics; identified and reproduced an undocumented Einstein Recipes platform defect, escalated it to Salesforce Support, collaborated on the resolution, and validated the production fix.
• Led technical demos and solution walkthroughs covering architecture, data flows, campaign behavior, platform limitations, and implementation decisions for technical and non-technical stakeholders.

Computer Science - City College of New York (2017-02 - 2020-05)

Software Engineering Immersive - General Assembly (2023-03 - 2023-06)