Architected reusable alarm utility framework supporting 22 marketplaces × 4 treatments, reducing 88 individual alarm configurations to single parameterized template (98.9% code reduction); established first-of-its-kind scalable pattern for multi-marketplace experiment monitoring in CelebratePrimeDeliveryAlarmist

Implemented end-to-end data pipeline monitoring for badge impression tracking across NA/EU/FE regions; designed Nexus tracking metrics and Alarmist configuration to detect data loss before reaching Andes data warehouse, preventing analytics gaps and ensuring data completeness for downstream reporting systems

Quickly ramped up on 10+ Amazon-proprietary systems, delivering accurate and production-ready changes under tight deadlines.

Supported the team with essential OE work—system validations, experiment cleanup, configuration fixes, and infrastructure maintenance—ensuring stability across multiple alarm packages.

Designed and developed scalable and maintainable Java17 base applications using Spring Framework (Spring Boot, Spring MVC, Spring Security) to meet business requirements.

Utilized Azure Spring Cloud for deploying and managing Spring Boot applications in a cloud environment, ensuring high availability and scalability.

Developed and implemented market risk measure dashboard, including Value at Risk (VaR), to assess and manage potential financial losses in volatile markets.

Developed and maintained database schemas and queries using SQL and NoSQL datab ases, such as SQL Database and MongoDB.

Performed Agile process to streamline the development including bi-weekly Sprint and daily Scrum with Jira.

Utilize Java 11 to implement the back-end of the iOS applications

Designed the User APIs and Video APIs by using Express.js and MongoDB for the backend

Manage and authenticate user and identity with AWS Cognito, store the video and photo data by AWS S3

Used LOG4J & JUnit for debugging, testing, and maintaining the system state.

Written test cases and did Unit testing executing JUnit tests for controller and service classes

Used Hibernate for object-relational mapping and for database operations in Oracle SQL database

Partitioning large tables to improve query performance and reduce query execution times.

Created a logical and relational model by designing a collection of tables, the design of logical, relational diagrams

Used Python to extract & clean the source data from SQL Server Data Warehouse.

Used GitHub to coordinate among team members for Version Controlling.