Mulesoft Consultant

MuleSoft Integrations

• Design and configure Scheduler flows for time-triggered data synchronization
• Build time zone-aware, dynamic scheduler jobs using properties-based configuration
• Implement chained flows calling multiple downstream systems
• Monitor and audit scheduled runs for debugging and traceability

Webhooks & Event-Driven Integrations

• Configure public-facing HTTP Listener endpoints with robust security and validations
• Handle webhook payloads asynchronously with deduplication and queuing logic
• Parse and validate headers, content types, and payload signatures

Data Transformation

• Use DataWeave to transform data between JSON, XML, CSV, Java objects
• Handle complex nested mappings and reusable transformation functions

Batch Processing

• Develop scalable batch jobs for file and data processing
• Integrate batch processing flows with cloud storage systems

Connector Integrations

• Utilize connectors for AWS SQS, MongoDB, PostgreSQL, Airtable, and Slack
• Build resilient integrations with logging, retries, and monitoring using Anypoint Monitoring or Datadog
• Write custom loggers and error-handling strategies

Technical Environment & Tools

• Anypoint Platform  Studio, API Manager, Runtime Manager, Exchange
• DataWeave, MUnit, Postman, CloudHub, AWS
• MongoDB: Compass, Shell, Robo 3T
• PostgreSQL: pgAdmin, DBeaver, psql
• Airtable: REST API, JavaScript, OAuth

Required Skills & Experience

• 3+ years of hands-on MuleSoft development experience
• Strong experience with Scheduler jobs, batch processing, webhooks, and data transformations
• Proficiency in designing and integrating with MongoDB, PostgreSQL, and REST APIs
• Strong SQL, JSON, XML transformation skills
• Ability to build and scale integrations using MuleSoft connectors

Nice to Have

• Experience with MongoDB aggregation pipelines and ETL workflows
• Integration experience with Airtable (views, automations, REST API, scripting)
• Familiarity with OAuth, rate limiting, and building real-time sync with databases