Carter Haley — MuleSoft Developer & Integration Architect

A bit of background.

I'm a MuleSoft developer and integration architect with six years of consulting delivery, mostly in public-sector and enterprise environments. My career has been almost entirely in the space where legacy systems, Salesforce workflows, compliance requirements, and real data movement collide — and where "it worked in dev" isn't good enough.

At Salesforce (Acumen Solutions), I've worked as a MuleSoft developer on long-running public-sector programs, including a federally regulated underwriting and eligibility system for the U.S. Department of Agriculture. Before that, at Capgemini, I led MuleSoft operations for the country's largest government-owned energy provider, delivered 50+ integration interfaces for Life Sciences e-commerce clients, and worked on multi-stack B2B and B2C platform integrations across US and European accounts.

My background in data science and economics — a B.S. from the College of Charleston and early career work at Blackbaud — means I think about data quality, transformation logic, and downstream data health as carefully as API contracts and connection reliability. That breadth matters when integration work touches reporting pipelines, operational dashboards, or AI-adjacent data flows.

I do best on projects where there's real technical complexity to work through — not just configuration and handoffs.

Location New York, NY

Current Role Technical Consultant, Salesforce

Education B.S. Data Science & Economics, College of Charleston

Primary Focus MuleSoft · Salesforce · Public Sector

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.

What I work on.

API-led Connectivity & Integration Architecture

Designing multi-layer API networks across system, process, and experience tiers — structured so they're easier to extend and maintain than what they replace.

MuleSoft Development & Platform Delivery

Production development on Anypoint Platform — DataWeave transformations, connector configuration, Runtime Manager, CloudHub deployment, and release coordination across environments.

Salesforce Ecosystem Integration

Connecting Salesforce to upstream and downstream systems through the right patterns for each situation: synchronous APIs, Platform Events, batch data movement, and bidirectional sync across Sales Cloud and Service Cloud.

Federal & Public Sector Delivery

Delivering integration and API work within federal compliance environments — FISMA, MISMO 3.4, agency data standards — where the requirements are specific and the legacy dependencies are real.

Data Orchestration & System Interoperability

Moving data reliably across heterogeneous systems — HR, ERP, LMS, SIS, financial platforms, cloud services — with careful attention to transformation logic, data quality, retry handling, and operational visibility.

Solution Engineering & Technical Communication

Translating integration architecture into clear explanations for architects, product owners, and program leadership. Comfortable going deep technically and comfortable in the room when the audience isn't technical.

Projects and delivery highlights.

A few of the projects I've worked on — ranging from federal underwriting systems to enterprise e-commerce platform migrations.

Public Sector · Federal · USDA

Modernizing the USDA Guaranteed Underwriting System

Problem: 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 industry compliance standards, improved lender usability, and connected reliably to external eligibility and credit services.

Approach: Developed the MuleSoft integration layer connecting GUS to credit report providers, CAIVRS eligibility services, and agency data infrastructure. Delivered within FISMA security and MISMO 3.4 compliance requirements, coordinating across technical implementation, QA, and client-facing communication.

Outcome: An API layer enabling lenders to submit and process loan applications against a compliant, stable platform — replacing manual workarounds and fragile point-to-point connections.

MuleSoft Anypoint Platform REST APIs MISMO 3.4 FISMA Federal Consulting

Platform Migration · Government Energy

MuleSoft Migration for the Nation's Largest Government-Owned Energy Provider

Problem: A major government-owned energy provider was running on aging Tibco, Akana, and Informatica integrations — a fragmented environment that was difficult to operate and increasingly risky as the underlying platforms aged out.

Approach: Served as MuleSoft Operations Lead through the migration to Anypoint Platform. Maintained connections for applications managing data on natural resources — lakes, rivers, and environmental monitoring systems — that directly supported agency operations.

Outcome: Legacy integrations off three separate platforms and onto MuleSoft, with improved operational visibility and a more consistent runtime environment going forward.

MuleSoft CloudHub Tibco Migration Akana Informatica Platform Migration

Enterprise Integration · Life Sciences

50+ Integration Interfaces for Life Sciences E-Commerce Platform Migration

Problem: A global medical device and healthcare company needed a full integration layer to support an e-commerce platform migration — connecting Salesforce, Magento, and logistics providers across a mixed B2B and B2C environment.

Approach: Implemented 50+ interfaces covering event-driven flows via Amazon SQS, logistics API integrations (FedEx, UPS), and bidirectional sync between Salesforce and Magento. Also served as Integration Analyst for a parallel B2B/B2C platform on AEM, Magento, CloudSense, and Salesforce for a European account.

Outcome: Full interface suite delivered on time for the platform migration cutover, covering both B2B portal and B2C commerce workflows across Salesforce and Magento.

MuleSoft Salesforce Magento Amazon SQS FedEx API UPS API AEM

Data Science · Predictive Modeling

NBA Score Prediction Engine with Automated Daily Output

Problem: Build a production-quality ML pipeline that generates daily NBA game score predictions, evaluates spread accuracy, and accumulates historical results for model performance analysis over time.

Approach: Compiled game-by-game matchup data across the 2019-20 NBA season. Trained two separate regression models — home and away — using cumulative team statistics. Deployed via CRON job, generating predictions each morning and writing historical results to persistent storage for ongoing accuracy tracking.

Outcome: Automated daily prediction pipeline with web-accessible outputs and a growing historical dataset for model evaluation and iteration.

Python scikit-learn CRON Predictive Modeling Data Pipeline Regression

View prediction dashboard →

Experience.

Six years of consulting delivery — federal agencies, enterprise systems integration, and some data science work earlier on.

Salesforce (Acumen Solutions)

Technical Consultant — MuleSoft Developer

December 2020 — Present

Long-running engagement delivering MuleSoft development and integration architecture for public-sector clients, primarily within federal agency environments.

MuleSoft developer on USDA Rural Development modernization — automated underwriting platform for Single Family Housing Guaranteed Loans
Built integration layer connecting GUS to credit bureaus, CAIVRS eligibility services, and agency data infrastructure within FISMA and MISMO 3.4 compliance requirements
Supported delivery across technical implementation, QA coordination, and stakeholder communication on a complex, multi-system federal program
Long-term public-sector account with sustained platform ownership — ongoing operational accountability, not just project delivery

Capgemini

Cloud Technologies Consultant

August 2019 — December 2020

Delivered integration and platform work across three distinct clients — government energy, Life Sciences e-commerce (US), and Life Sciences e-commerce (Europe) — within a 16-month tenure.

MuleSoft Operations Lead for the largest government-owned energy provider in the US — overseeing migration from Tibco, Akana, and Informatica to MuleSoft Anypoint Platform
Implemented 50+ interfaces for Life Sciences e-commerce platform migration: Amazon SQS event flows, FedEx and UPS logistics APIs, Salesforce and Magento data synchronization
Integration Analyst for European Life Sciences B2B/B2C platform on AEM, Magento, CloudSense, MuleSoft, and Salesforce — quality assurance across a complex multi-platform environment
Millennial Innovation Council Local Lead — organized hackathons, invited industry speakers, supported recruiting events

Blackbaud

Data Science Intern

May 2018 — June 2019

Two-phase internship across data science and engineering work in the social good technology sector.

Built predictive donor models using Python and AWS — modeling philanthropic giving value over a three-year response period across donor segments, generating inputs for the Blackbaud Institute's End-of-Year Giving whitepaper
Capstone project (College of Charleston): built ETL pipeline using Spark and Databricks on Microsoft Azure, with D3.js graph visualization surfacing constituent relationships and contribution patterns across the social good community

College of Charleston

B.S. Data Science & Economics

Graduated 2019

Bachelor of Science in Data Science and Economics. Coursework spanning machine learning, statistical modeling, database systems, and applied programming. Capstone project delivered with Blackbaud using production cloud tooling — Spark, Databricks, Azure, and D3.js.

Tools and technologies.

Grouped by area — everything here comes from actual delivery experience.

Integration

MuleSoft Anypoint Platform DataWeave API Manager CloudHub Runtime Manager RAML / OAS REST / SOAP Platform Events

Salesforce

Sales Cloud Service Cloud Platform Events SOQL Salesforce APIs Agentforce / AI Data Cloud

Data & Analytics

Python SQL scikit-learn Apache Spark Databricks D3.js ETL / ELT

Cloud & Infrastructure

Amazon Web Services Amazon SQS Microsoft Azure Azure DevOps CloudHub (MuleSoft)

DevOps & Delivery

Git CI/CD Pipelines Environment Management Release Coordination CRON Scheduling

Observability & Legacy

Splunk Runtime Logs Object Stores Retry / Error Handling Tibco Akana Informatica

Certifications.

MuleSoft / Salesforce

Certified Developer — Level 1

MuleSoft Anypoint Platform