Jul 2025 – Present · 8 mos

Jul 2024 – Jun 2025 · 11 mos

• Designed and implemented a scalable data collection pipeline for tracking productivity metrics, integrating APIs to fetch and process data related to projects, boards, workflows, and issues.
• Ingested processed data into a centralized data platform and utilized Looker Studio to build insightful dashboards, enabling data-driven decision-making for team leaders.
• Gained hands-on experience with CI/CD pipelines, including the building and deployment of Docker container images and managing Kubernetes-based deployments.
• Leveraged Apache Pulsar in a message-driven architecture to publish and consume events, enabling efficient batch job execution for large-scale data processing.
• Transitioned from a traditional API-based integration to an app-based architecture with webhook-driven workflows, ensuring scalability and overcoming rate-limiting challenges.
• Designed and deployed a solution to process webhook events using Spring Batch, enabling streamlined data ingestion and processing.
• Frequently assist teammates in debugging and resolving complex issues, and have successfully resolved multiple bugs, enhancing my confidence and expertise in troubleshooting.
• Improved code quality and maintainability by writing comprehensive unit tests with JUnit5 and Mockito.
• Technologies Used: Java, Spring Boot, Spring Batch, Apache Pulsar, Kubernetes, Docker, Looker Studio, JUnit5, Mockito, Webhooks.