Salesforce Marketing Cloud · Data Cloud · Personalization
I design and ship enterprise-grade marketing automation and personalization, from Data Cloud identity models to Journey Builder, Interaction Studio, and Agentforce, with the same hands-on rigor I bring to AMPscript, SSJS, APIs, and full-stack side projects.
About
I'm Matheswaran Kanagarajan, SFMC Technical Architect at Ateko (formerly CloudKettle), building solutions across Salesforce Marketing Cloud, Data Cloud, Interaction Studio / Salesforce Personalization, and Agentforce for regulated and high-scale retail, B2C, and enterprise clients, often alongside Heroku, Cloudflare, and MuleSoft.
Before that: Technical Lead at Groundswell (loyalty, journeys, SMS across regions) and Architect at Barclays, migrating a dozen business units from Striata, Cheetah, HPX, and Marketo onto SFMC with connect, APIs, and Einstein web personalization.
I publish on Medium, ship Chrome extensions developers actually use, and speak at community events from Vancouver to Phoenix.
Work
Representative programs across Data Cloud, Marketing Cloud, regulated estates, and multi-BU migrations. Depth varies by phase, stakeholder mix, and delivery model.
Led Data Cloud for a hardware & e-commerce retailer: identity resolution, calculated insights (LTV, RFM, next-best category), and journey activation. Duplicate profiles dropped by over 30%.
Built calculated insights for behavior categories, enabled real-time personalization with Data Actions, and architected ingestion via custom API connectors and the Ingestion API.
Global imaging brand: Data Cloud streams, Zero ETL to Snowflake, custom transforms aligned to CIM, segments that lifted email and conversion metrics.
Lead architect for sensitive, high-volume data: discovery with enterprise architects, feasibility on batch vs. real-time from mainframes, ingestion via custom APIs.
Custom Journey activities, content blocks, Customer Packages, Node/Vue/Material UI services on Heroku and Cloudflare calling REST & SOAP APIs, plus Interaction Studio sitemap deployments and server-side campaigns for behavioral analytics.
Email/SMS journeys, MCC sync, chain automations, Mastercard APT insights, web tracking, MobileConnect across US/CA/AU/JP.
Consolidated email & SMS from legacy platforms for retail, card, mortgages, payments, and investment banking: Marketing Cloud Connect, distributed marketing, API transactional sends, Einstein web recommendations.
Active in Vancouver (leader), Halifax, and Phoenix, bridging practitioners, creatives, and data teams.
Shipped products
Live links: Chrome Web Store extensions, AppExchange search for MJML Live Editor, and npm for MCP packages.
Save SQL from Query Studio automatically. Fewer lost queries between sessions.
Chrome Web Store →Inspect automation and journey structures without pausing production runs.
Chrome Web Store →Log events flowing to Salesforce servers for MCP debugging and QA.
Chrome Web Store →Published AppExchange package for live MJML editing in the SFMC ecosystem.
Find on AppExchange →Model Context Protocol (npm) servers for Data Cloud and Marketing Cloud developer workflows.
Live apps
Utilities for Data Cloud inspection, email HTML preview, batch email validation, and LLM persona drafting. Each card summarizes what the app does and how to get started.
A browser app to shape personas and prompts for LLM workflows: tone, constraints, and context you can reuse in assistants or IDEs.
How to use
Explore Salesforce Data Cloud streams and DMO mappings from exports or a live org: upload JSON/ZIP, or connect with an instance URL and bearer token.
How to use
Preview email HTML in a simple web view: handy when you want to sanity-check markup or share a read-only web version of a send.
How to use
Documentation and UI for an async email validation API: POST a batch of addresses, then poll by request ID for SMTP-level results.
How to use
POST /validate with an email array and config (e.g. showValid).requestId, then call GET /validate/:id once until results are ready (each id is one-time).Medium
Long-form SFMC notes: Query Studio, Automation Studio internals, CloudPages, and AWS glue for SFTP. medium.com/@mathes.btech
This blog is my scrapbook: day-to-day findings and thoughts, with short topic pages that often point to longer Medium write-ups.
SFMC field notes
Short summaries; full walkthroughs stay on Medium. Leaving toward the top of the window may show a one-time popup with these links (stored only in your browser).
Programmatically list query and script activities by URL patterns, useful for audits and documentation.
Read articleWhat shows up in Network and Console when you work in Automation Studio: practical debugging notes.
Read articleTactics for finding fields and rows when the UI feels opaque at scale.
Read articleWhy saving Query Studio SQL matters, and how the extension closes the loop.
Read articleTrailblazer community
Sessions from user groups and community channels: Salesforce Marketing Cloud, Personalization (Interaction Studio), Cloud Pages, and adjacent integration work. Each embed plays on this page; open YouTube for full screen or chapters.
A deep dive on server-side campaigns and the Event API for Salesforce Marketing Cloud Personalization (Interaction Studio): how server-side execution complements web behavior, when to push events, and patterns that hold up in enterprise programs.
Watch on YouTube →A practical introduction to Interaction Studio for practitioners: orienting to the canvas, campaigns vs. web templates, and how to think about data flowing into decisions. Useful for user-group audiences ramping on Personalization.
Watch on YouTube →How to secure a Vue.js SPA with Okta: login flow, tokens, and routing guards. Patterns apply whenever you pair enterprise IdPs with modern frontends, including experiences adjacent to Marketing Cloud and Cloud Pages.
Watch on YouTube →A fireside-style conversation on SFMC practice, delivery realities, and lessons from the field. Good background if you want to hear how architecture and hands-on build work show up in real customer programs.
Watch on YouTube →A tactical session on pulling Cloud Pages lists from multiple BUs: why governance needs a single view, how scripting and APIs can replace manual checks, and what to watch for when scaling across a shared tenant.
Watch on YouTube →Contact
I read every message and reply from the address you provide.
I'm generally available for a 25–30 minute intro Monday–Friday, 8:00 a.m.–6:00 p.m. Pacific (PT). Pick a window inside that range and I'll confirm by email.