Carter Haley

I work at the intersection of integration architecture, API strategy, and Salesforce data infrastructure. At Salesforce, I focus on how enterprise and public-sector systems connect, where data moves, and what it takes to build MuleSoft architecture that holds up in production. My background includes federal agency delivery, legacy system migrations, and multi-platform e-commerce integrations — projects where the data movement has to be right, not just functional.

What I work on.

MuleSoft and API-led integration — designing and delivering multi-layer API networks on Anypoint Platform: DataWeave transformations, API Manager, CloudHub, and multi-environment delivery.
Salesforce data flows and platform architecture — connecting Sales Cloud, Service Cloud, and Data Cloud to upstream and downstream systems through the right pattern for each situation.
System modernization and legacy migration — helping organizations move off aging middleware (Tibco, Akana, Informatica) onto modern, operable integration platforms.
Public sector and regulated delivery — API work within federal compliance environments: FISMA constraints, MISMO standards, and agency data requirements with real legacy dependencies.
Technical discovery and solution framing — translating complex system architectures into clear narratives for architects, product owners, and program leadership.

Selected work.

The USDA Rural Development program needed to rebuild its automated underwriting system for Single Family Housing Guaranteed Loans — replacing a legacy platform with one that met current mortgage compliance standards and connected reliably to external eligibility and credit services. I developed the MuleSoft integration layer connecting GUS to credit report providers, CAIVRS eligibility services, and agency data infrastructure, working within FISMA security and MISMO 3.4 compliance requirements across technical implementation, QA, and stakeholder communication. The result replaced manual workarounds and fragile point-to-point connections with a stable, compliant API layer.

A major government-owned energy provider was running integrations on aging Tibco, Akana, and Informatica platforms — fragmented, difficult to operate, and increasingly risky as the underlying systems aged out. I served as MuleSoft Operations Lead through the migration to Anypoint Platform, maintaining connections for applications managing data on natural resources and environmental monitoring systems that directly supported agency operations. Three legacy platforms consolidated onto a single, consistently operable runtime.

A global medical device company needed a full integration layer to support an e-commerce platform migration across Salesforce, Magento, and logistics providers — spanning both B2B portal and B2C commerce workflows. I implemented over 50 interfaces covering event-driven flows via Amazon SQS, FedEx and UPS logistics APIs, and bidirectional data sync between Salesforce and Magento, and served as Integration Analyst for a parallel European account on AEM, Magento, CloudSense, and Salesforce. The full interface suite shipped on time for the platform migration cutover.

Experience.

Salesforce Lead, Specialist Solution Engineer — Data Foundations

December 2020 – Present

Long-running public-sector engagements delivering MuleSoft integration architecture, primarily for federal agency clients. Built and maintained integration layers in compliance-constrained environments; supported technical delivery, QA coordination, and stakeholder communication on complex, multi-system federal programs.

Capgemini Cloud Technologies Consultant

August 2019 – December 2020

MuleSoft delivery across three distinct clients in 16 months: the nation's largest government-owned energy provider (operations lead for a legacy platform migration), a US Life Sciences e-commerce migration (50+ interfaces across Salesforce, Magento, and logistics APIs), and a European B2B/B2C Life Sciences platform (integration analyst across AEM, Magento, CloudSense, and Salesforce).

Blackbaud Data Science Intern

May 2018 – June 2019

Built predictive donor models using Python and AWS; ETL pipeline capstone using Spark, Databricks, and Azure with D3.js visualization — work that contributed to Blackbaud Institute research. This background shapes how I think about data quality and transformation logic in integration work. B.S. Data Science & Economics, College of Charleston, 2019.

Certifications: MuleSoft Certified Developer L1 · MuleSoft Certified Platform Architect L1 · Salesforce Certified Agentforce Specialist

How I work.

Integration work is rarely glamorous. It's understanding constraints, writing reliable data transformations, and making sure things don't break silently in production.

01

Systems before solutions

I start by understanding what systems are involved, what data needs to move, and what the realistic failure modes look like. The design comes after the constraints are clear — not before.

02

Build for the next engineer

I build APIs that the next engineer can understand — clear ownership, consistent error handling, documented contracts. The goal is something maintainable, not just something that passes QA and ships.

03

Translation is part of the job

I move between implementation detail and plain-English explanation depending on who's in the room. A clear architecture narrative helps teams make better decisions faster than any diagram.

04

Reliability from the start

Logs, retry logic, error classification, and clear failure modes are part of delivery — not an improvement sprint after go-live. Observability and recovery aren't afterthoughts on the projects I work on.

Contact.

If you're working on MuleSoft architecture, data integration strategy, or enterprise solution engineering — or just want to talk through a technical problem — feel free to reach out.

carter@carterhaley.com LinkedIn ↗