Mustafa Kukshiwala

• Oracle
• Salesforce
• Twilio
• Amazon Web Services (AWS) SQS
• MedPro APIs
• CPR APIs
• Relay APIs
• SFTP Servers
• Atlas APIs

Overview:
Designed and developed an event-driven integration between Salesforce and Exela systems using Salesforce Platform Events.

Responsibilities & Business Logic:

• Consumed publish events from Salesforce using MuleSoft event listeners.
• Queried multiple Salesforce objects simultaneously based on trackerID and parentRecordID.
• Aggregated complex hierarchical data from multiple objects.
• Generated dynamic CSV files from transformed payloads.
• Uploaded generated CSV files securely to SFTP servers.
• Implemented error handling, logging, and retry mechanisms for failed SFTP transactions.

Problem Solved:
The client faced delays and manual intervention while exporting business records into CSV format for downstream processing.

Solution Delivered:
Built an automated near real-time event-driven integration that reduced manual effort, improved processing speed, and ensured reliable file delivery to external systems.

Overview:
Developed a large-scale synchronization integration between Actics and CPR+ systems to maintain patient and prescriber data consistency.

Responsibilities & Business Logic:

• Implemented batch processing in Mule 4 for handling high-volume records.
• Processed patient and prescriber synchronization workflows.
• Captured failed records into Object Store with configurable retention.
• Generated customized error reports and sent automated notifications to business users via email.
• Managed retry and reconciliation mechanisms for failed transactions.
• Performed monitoring and operational support for batch executions.

Problem Solved:
Large data loads and intermittent downstream failures caused synchronization inconsistencies and manual recovery efforts.

Solution Delivered:
Designed a resilient batch architecture with centralized error tracking, temporary Object Store persistence, and automated reporting, significantly reducing operational overhead and improving data reliability.

Overview:
Built integrations for managing nurse onboarding and agency creation workflows integrated with Salesforce.

Responsibilities & Business Logic:

• Integrated JS Portal frontend requests with MuleSoft APIs.
• Developed APIs for nurse creation and agency association workflows.
• Processed and validated inbound payloads before sending to Salesforce.
• Implemented transformation and orchestration logic using DataWeave.
• Added centralized exception handling and API monitoring.

Problem Solved:
Manual nurse onboarding and agency assignment processes were time-consuming and error-prone.

Solution Delivered:
Automated the onboarding workflow through MuleSoft APIs, improving processing efficiency and ensuring accurate Salesforce data updates.

Overview:
Implemented an event-driven integration for transferring patient and itinerary data from Atlas systems to Salesforce/RxWare platforms.

Responsibilities & Business Logic:

• Used Salesforce Platform Events for asynchronous event-driven processing.
• Processed patient and itinerary-related records in real time.
• Designed scalable event consumers and orchestration flows.
• Ensured reliable message delivery and retry mechanisms.
• Implemented payload validations and transformation logic.

Problem Solved:
The business required real-time synchronization of patient itinerary information across multiple platforms.

Solution Delivered:
Developed a scalable event-driven architecture that improved real-time visibility, reduced synchronization delays, and increased system reliability.

• Worked extensively on JWT Token-based authentication and authorization in MuleSoft APIs.
• Implemented OIDC (OpenID Connect) policies for secure API access management.
• Configured client ID enforcement and secure API gateway policies.
• Experience with API security best practices, encrypted properties, and secrets management.
• Worked on Intelligent Document Processing (IDP) integrations in MuleSoft.
• Processed and transformed structured/unstructured document payloads.
• Integrated automated document extraction workflows with downstream enterprise systems.
• Performed POC implementation on CloudHub 2.0 deployments.
• Configured and understood:
  VPC setup and network isolation
  Dedicated Load Balancer (DLB) configurations
  CIDR range planning and subnet understanding
  DLB mapping rules and routing configurations
  Secure private/public endpoint exposure
  API traffic routing and load balancing strategies
• API-led connectivity architecture
• Mule 4 batch processing
• Salesforce integrations
• Event-driven architecture
• SFTP integrations
• AWS SQS messaging
• Error handling and retry mechanisms
• Object Store implementation
• DataWeave transformations
• Secure property management
• Logging and monitoring
• RAML-based API design
• CI/CD deployment exposure for MuleSoft applications

• Worked in production support during the EST time zone to support client business operations and critical deployment activities.
• Troubleshooted production issues and performed root cause analysis (RCA) for critical incidents.
• Worked extensively on resolving high-priority production incidents impacting business workflows.
• Coordinated with cross-functional teams including developers, QA, business teams, and support teams for issue resolution.

• Participated in post-deployment hypercare support for up to 20 days after production releases.
• Closely monitored APIs, integrations, and downstream systems after deployment.
• Took detailed KT (Knowledge Transfer) sessions from developers for high-critical business functionalities before production releases.
• Ensured smooth transition from development to production support operations.

New deployments occasionally introduced unexpected production behavior and business-critical failures.

Implemented proactive hypercare monitoring, continuous validation, and close coordination with development teams, helping reduce production downtime and ensuring stable releases.

• Performed API monitoring and log analysis for production MuleSoft applications.
• Verified transaction consistency during new patient enrollment and downstream synchronization processes.
• Monitored message flows across API-led connectivity layers:
  Experience APIs
  Process APIs
  System APIs
• Used correlation IDs for complete end-to-end transaction tracing.

Tracking failures across multiple interconnected APIs and downstream systems was difficult during production incidents.

Used correlation IDs and centralized logging mechanisms to backtrace requests across API-led layers, enabling faster issue identification and quicker incident resolution.

• Investigated API failures, timeout issues, retry failures, and data synchronization issues.
• Worked on:
  Retry exhausted scenarios
  Queue failures
  Payload validation issues
  Data mismatch analysis
  Downstream system failures
• Performed real-time troubleshooting using logs, monitoring tools, and API Manager analytics.

Critical business transactions failed due to intermittent downstream system issues and asynchronous processing failures.

Implemented structured troubleshooting approaches, queue recovery mechanisms, and proactive monitoring, significantly improving production stability and reducing incident turnaround time.

• Production support during EST business hours
• Hypercare support after deployments
• Incident troubleshooting & RCA
• API monitoring & log analysis
• Correlation ID tracing
• API-led connectivity troubleshooting
• Queue monitoring & recovery
• Real-time production issue handling
• KT coordination with development teams
• Deployment validation & post-release monitoring
• Business-critical incident management

• Salesforce
• NetCracker
• Oracle Database
• Flow Manager
• Octopus Deploy for CI/CD deployment
• Amazon Web Services (AWS)
  SNS
  Lambda
  SQS
  S3 Buckets

Worked on multiple enterprise integrations for Claro, a Mexican telecommunications company, involving Uni-Directional, Bi-Directional, and Webhook-based integrations between Salesforce, Oracle, NetCracker, and other enterprise systems.

Designed and implemented scalable MuleSoft APIs for quotation management, billing synchronization, order processing, and real-time event communication.

Developed integrations to synchronize quotations, billing information, and order details from Salesforce to Oracle systems while preventing duplicate data synchronization.

• Implemented watermarking strategy to avoid duplicate processing and maintain incremental synchronization.
• Developed Mule 4 APIs using:
  DataWeave transformations
  Custom reusable functions
  Inbuilt MuleSoft functions
  Complex if/else and switch-case business validations
• Integrated Salesforce and Oracle Database systems for transactional data processing.
• Built both real-time and asynchronous integrations depending on business requirements.
• Implemented webhook-based integrations for external event communication.
• Worked on Uni-Directional and Bi-Directional synchronization flows between enterprise systems.
• Designed a centralized common error-handling framework across all MuleSoft APIs.
• Integrated AWS SNS notifications with Slack and email alerts for proactive monitoring.
• Developed AWS Lambda functions to process retry-exhausted scenarios and custom notification handling.
• Implemented:
  DLQ (Dead Letter Queue)
  Reprocessing Queue
  Error Queue
• Used AWS SQS for reliable asynchronous messaging and retry mechanisms.
• Enabled real-time error recovery and message reprocessing architecture.

The system faced challenges with failed asynchronous transactions, duplicate records, and lack of centralized monitoring.

Implemented a robust event-driven error recovery framework using AWS services, enabling:

• Automatic retry handling
• Real-time notifications
• Reduced manual intervention
• Improved message reliability
• Better operational monitoring and observability
• Worked with Octopus Deployment for CI/CD deployment automation.
• Managed deployment pipelines for MuleSoft applications across multiple environments.
• Supported automated deployment strategies and release management.
• Experience working with:
  Microsoft Azure cloud services
  Amazon Web Services (AWS) infrastructure
• Hands-on exposure to:
  AWS SNS
  AWS Lambda
  AWS SQS
  AWS S3 Buckets
• Experience designing cloud-native integration patterns and event-driven architectures.
• MuleSoft API-led connectivity architecture
• Event-driven integrations
• Webhook integrations
• Salesforce integrations
• Oracle Database integrations
• Batch processing
• Real-time data synchronization
• Reusable DataWeave transformation components
• Common logging and monitoring framework
• API security and policy management
• Retry mechanisms and fault tolerance
• Queue-based asynchronous processing
• Enterprise integration design patterns

• Salesforce to NetSuite Integration
• Salesforce to Zuora Integration

Worked on integrations for KeepTruckin, a modern IoT-based fleet management platform used for fleet monitoring, vehicle tracking, operational management, and real-time business processing across multiple enterprise applications.

The project involved implementing scalable MuleSoft APIs using API-led connectivity architecture with reusable System APIs and Process APIs for enterprise-wide integrations.

• Developed integrations between Salesforce, NetSuite, and Zuora systems.
• Built reusable components between System APIs and Process APIs to minimize duplicate implementation.
• Designed scalable REST APIs using RAML specifications and API-led architecture principles.
• Implemented reusable DataWeave modules and common transformation utilities.

Different systems had repetitive business logic and tightly coupled integrations, causing maintenance complexity and increased development effort.

Designed reusable System APIs and Process APIs with shared transformation layers and reusable business components, significantly improving maintainability, scalability, and faster feature delivery.

• Worked extensively on advanced RAML design.
• Implemented reusable:
  Traits
  Resource types
  Common properties
  Security standards
• Used traits such as:
  SlaBased
  clientIdEnforced
• Followed API governance standards across all enterprise APIs.

Multiple APIs were using inconsistent API standards and duplicated configurations, making governance difficult.

Introduced standardized RAML templates and reusable traits which improved API consistency, reduced development effort, and simplified API governance.

• Developed complex DataWeave 2.0 mappings and transformations.
• Worked with:
  if/else conditions
  Customized reusable functions
  Filters between end systems
  Conditional payload enrichment
  Data validation and transformation

Data received from different systems had mismatched structures and inconsistent formats, leading to transformation challenges.

Implemented reusable DataWeave transformation modules with custom functions and conditional logic, enabling smooth and accurate data synchronization between systems.

Developed integrations for synchronizing customer, order, and financial data between Salesforce and NetSuite systems.

Business users experienced delays and inconsistencies while syncing customer and transactional records between CRM and ERP systems.

Built near real-time synchronization APIs with proper validation, filtering, and transformation logic to ensure accurate and seamless data exchange.

Implemented integrations for subscription management and billing workflows between Salesforce and Zuora.

Subscription and billing information required manual reconciliation between systems, increasing operational overhead.

Automated subscription synchronization workflows using MuleSoft APIs, reducing manual intervention and improving billing accuracy.

• Deployed MuleSoft applications on CloudHub.
• Managed environment configurations and deployment activities.
• Supported monitoring and troubleshooting of deployed APIs.

Frequent deployment activities and environment inconsistencies impacted release timelines.

Followed standardized deployment and configuration management practices to improve deployment stability and reduce production issues.

MuleSoft Developer

• JDK 8
• Anypoint Platform
• CloudHub
• Salesforce
• Netsuite
• Zuora
• API-led connectivity
• REST API development
• Advanced RAML design
• Mule 4 development
• DataWeave 2.0 transformations
• Reusable API frameworks
• Event-driven architecture
• Salesforce integrations
• ERP & Billing integrations
• API governance
• Client ID enforcement
• SLA-based API policies
• CloudHub deployments
• Enterprise integration patterns