• Assigned to work on an intern project developing chrome extension for Databricks in Data & AI team. After implementing the features 4 weeks earlier than scheduled, I took on a leading role in my team and led the development of the node.js based GraphQL backend service.
• Leveraged Spark, Delta Lake, Terraform with Databricks workflows, and Slack API, to build a Databricks monitoring and alerting system for resource exhaustion. The managers utilized the system efficiently to decide the budget planning for AWS and Databricks. 10 detected clusters were expanded to fulfill the needs of 500+ data engineers. The team manager allocated extra resources for the clusters resulting in a more than 90% decrease in the resource exhaustion.
• After accomplishing my assigned projects, I implemented the security measures for the backend service, which enabled last-mile authentication and the gateway to ensure the security of data transactions. I presented and taught the implementation to staff engineers and my team manager.
• The only intern to present the services in the Intuit Data Capabilities conference and received “Intuit Spotlight Award” for developing the projects and services above.