Led the development and maintenance of Allocation Engine - a Spring Boot microservice hosted on AWS involved in handling loan originations, servicing, and application matching with Credit Partners using machine learning. The service provides integrations to multiple domains such as the Allocation Engine Machine Learning model for Credit Partner allocation of individual loans, Airflow DAG for scheduled jobs, Canonical sync for updating Q2(CLS) built on Salesforce Cloud, and Snowflake for business intelligence and data analysis
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Re-architected Allocation Engine microservice from REST to Kafka event-driven processes triggered using CDC events from Salesforce via Canonical Event Bridge, ensuring enhanced scalability and security of real-time finance data.
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Designed APIs to support concurrent loans and monitor volume limits thus increasing customer success by 20%.
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Spearheaded an R&D project to analyze data inconsistencies across development environments using a Python script to ensure optimization of 40% by reducing data-related issues and improving software reliability.
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Drove a complex database migration project across different Q2 cloud infrastructure versions, ensuring improved maintainability, system performance, and smoother end-user experiences using Python.
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Orchestrated testing, code reviews, and code deployments to AWS, leveraging services like EC2 and Lambda functions, and monitored real-time performance by using Datadog APM and logging to optimize system efficiency.
