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Deepak Haldar

Deepak Haldar

MuleSoft Solution Architect / Senior Integration Consultant

Talent
PhoenixMember since May 13, 2026
Mule 3.9Mule 4.xAnypoint StudioAnypoint PlatformCloudHub 1.0Runtime FabricAPI ManagerExchangeAnypoint MQMUnitRAMLRESTXMLJSONCSVDataWeave 2.0Fixed-width filesBatch processingValidationOrchestrationOAuth2JWTOktaIP whitelistingThrottlingCloudHub InsightsAnypoint MonitoringStructured loggingAWS SQSAWS EC2AWS LambdaJenkinsAzure DevOpsGitJFrogMavenSalesforceServiceNowSQL ServerPostgreSQLMongoDBSAP HybrisPythonBeautiful SoupSelenium WebDriver
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Mule 3.9Mule 4.xAnypoint StudioAnypoint PlatformCloudHub 1.0

About

MuleSoft Solution Architect and Senior Integration Consultant with 7+ years of experience designing, building, migrating, and supporting enterprise integrations across MuleSoft Anypoint Platform, CloudHub 1.0/2.0, and Runtime Fabric. Hands-on delivery background across Mule 3.9, Mule 4.x, DataWeave 2.0, RAML-first API design, API-led connectivity, reusable frameworks, CI/CD, API governance, security, monitoring, and production support. Experienced with enterprise modernization, Salesforce, ServiceNow, AWS, SQL/NoSQL databases, partner file feeds, EDI-style batch processing, validation, reconciliation, and fault-tolerant integration patterns.

Experience

MuleSoft Consultant at Jack Henry & Associates (2025-02 – Present)

Project: Enterprise Integration Modernization

  • Designed and developed reusable MuleSoft APIs supporting enterprise modernization across Salesforce, databases, and internal platforms.
  • Built RAML-first API specifications, DataWeave transformations, implementation flows, and standardized error-handling patterns.
  • Implemented CI/CD deployment automation using Jenkins and Git to improve release consistency across environments.
  • Applied API Gateway controls including OAuth2, IP whitelisting, throttling, and policy-based access management.
  • Improved production visibility through CloudHub Insights, Anypoint Monitoring, structured logging, and support-ready diagnostics.
  • Tuned integrations for performance, resiliency, and fault tolerance to support SLA-driven business operations.

Solution Architect at Church Pension Group (2024-01 – 2024-10)

Project: CPG Data and Services Integration

  • Architected MuleSoft integrations for partner data feeds supporting pension enrollment, contribution updates, membership changes, and recurring file exchanges.
  • Built scheduled ingestion flows for CSV, pipe-delimited, and fixed-width files using DataWeave and reusable mapping templates.
  • Implemented layered validation for headers, trailers, record counts, required fields, data types, sequencing, and partner control totals.
  • Designed fault-tolerant batch processing to isolate invalid records without stopping the full run.
  • Developed reconciliation outputs comparing processed counts and totals against partner control values for business and operations review.
  • Automated acknowledgment and error-summary files to external partners and worked with vendor teams on layouts, mapping rules, and delivery schedules.

Segment Lead / Senior Solution Architect at Discount Tire (2022-12 – 2024-01)

Project: Corporate Systems Upgrade

  • Led MuleSoft solution design and development for corporate integrations across Salesforce, ServiceNow, AWS services, and internal enterprise applications.
  • Designed Mule 4.4+ APIs using RAML, DataWeave, reusable subflows, and shared error-handling libraries.
  • Deployed and supported APIs across Runtime Fabric and CloudHub, including production readiness reviews and post-deployment support.
  • Built Azure DevOps CI/CD pipelines to standardize deployment, improve traceability, and reduce manual release effort.
  • Integrated AWS Lambda and DynamoDB to support serverless data operations and event-driven processing patterns.
  • Provided technical leadership across design reviews, implementation decisions, code quality, and production troubleshooting.

Enterprise Solution Architect at Science 37 (2021-08 – 2022-12)

Project: Next-Gen Platform

  • Migrated 25+ MuleSoft applications from CloudHub to Runtime Fabric to support a modern cloud-native integration platform.
  • Implemented secure integrations using JWT, Okta-based multi-tenant security, and environment-specific access controls.
  • Built scalable API flows for clinical trial operations using MuleSoft orchestration, transformation, and exception-handling best practices.
  • Managed multi-region MuleSoft deployments with focus on high availability, operational reliability, and performance.
  • Created MUnit test coverage for integration logic and supported testing standards targeting 80% coverage across APIs.
  • Integrated AWS services including SQS, SNS, EC2, and DynamoDB to support asynchronous processing patterns.

Enterprise Integration Developer at Isagenix International (2018-07 – 2021-07)

Project: ServiceNow Ticketing Integration / E-commerce Digital Transformation

  • Developed real-time MuleSoft integrations between Salesforce Service Cloud and ServiceNow for case and incident synchronization.
  • Designed bi-directional APIs using RAML, DataWeave, REST, and secure integration patterns.
  • Built CI/CD pipelines using Jenkins, Maven, Git, and JFrog for controlled deployment and artifact versioning.
  • Integrated SAP Hybris with internal systems using Mule 3.9 and Mule 4.x for shipping, payment, commissions, and tax APIs.
  • Migrated legacy Mule 3 APIs to Mule 4 and modularized services for improved reuse and maintainability.
  • Created JSON schemas, RAML specs, mock services, MUnit tests, and transformations across XML, JSON, and CSV payloads.

Senior MuleSoft Consultant at IMS Fastpak (2018-03 – 2018-07)

Project: API LINKETT Integration

  • Developed MuleSoft APIs to retrieve analytics data from LINKETT and persist campaign/audience data into SQL Server.
  • Built RESTful APIs using Mule 4.1, RAML, and DataWeave for data ingestion, mapping, and transformation.
  • Converted mapping specifications into detailed Mule flow designs and implementation artifacts.
  • Designed and executed MUnit and integration test cases to validate API behavior and transformation accuracy.
  • Worked within Agile sprints, contributing to story refinement, delivery planning, and backlog grooming.

Software Developer / Graduate Student Aide at Arizona State University, W. P. Carey School of Business (2016-11 – 2018-03)

  • Supported research initiatives involving data mining, text mining, web data extraction, and cloud-based analysis using Python, Beautiful Soup, Selenium WebDriver, AWS EC2, and data warehouse operations.

Education

Master of Science in Software Engineering – Arizona State University

Bachelor of Engineering in Information Technology – Mumbai University

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