Client Context
A financial services enterprise initiated a platform modernization by migrating from Jitterbit to MuleSoft Anypoint Platform. The objective was to enhance API scalability, streamline SFTP-based ingestion, and improve observability across integrations between Salesforce Lightning and Avalon systems.
The migration involved complex ETL workflows, file exchanges, and Salesforce SOQL orchestration supporting key operations like customer onboarding and product updates. Ensuring data accuracy, system parity, and zero disruption was critical during this transition.
Challenges
- Inconsistent file ingestion/extraction behaviors between Jitterbit and MuleSoft
- Field-level data mismatches between Salesforce and Avalon
- Variations in error-handling and retry logic
- Real-time and batch interface validation with SOQL
- Managing test automation across API and file-based processes
- Establishing parity validation for legacy and new APIs
- Need for performance benchmarking under real-world loads
- Supporting multiple tools: Swagger, Postman, RestAssured, JMeter within a Java automation stack
Solution Delivered
A hybrid validation approach was implemented to test APIs and asynchronous ETL workflows across legacy and modern platforms.
Key QA Components:
- Java-based REST API automation using RestAssured (functional, negative, regression)
- Swagger-driven schema validation for API contract assurance
- Postman suite for regression and sanity checks on key APIs
- SFTP file testing module validating formats (.txt/.csv), header integrity, rejection scenarios, and folder movements
- SOQL-based data verification scripts for Salesforce accuracy and traceability
- ETL validation using custom Java scripts to reconcile data between Salesforce and Avalon
- JMeter-based performance testing for API load and stress scenarios
- Dual-run delta testing to compare Jitterbit and MuleSoft behaviors and detect mismatches
Value Delivered
🔹 98% data transformation accuracy validated across all critical flows
🔹 1200+ automated test cases covering MuleSoft APIs, SFTP ingestion, and ETL pipelines
🔹 100% SOQL automation coverage for Salesforce interactions
🔹 65% reduction in QA cycle time through automation and dual-environment validation
🔹 170+ defects identified in pre-prod, avoiding post-go-live issues
🔹 Migration of 50+ integrations completed with zero production rollback
Impact Highlights
- Built a reusable Java framework for API and file interface validation
- Ensured seamless Salesforce to Avalon data flow with field-level integrity
- Delivered performance benchmarks confirming platform readiness
- Improved cross-system traceability using SOQL and validation scripts
- Created a QA playbook for future migration and integration initiatives
- Enhanced collaboration across QA, DevOps, Salesforce, and MuleSoft teams
