YUGANK SHARMA

Automated Dapy service (Data Acquisition Platform) in Java on AWS (EC2) using S3, MySQL, and Hive, reducing manual intervention by 60–70% and streamlining workflows.

Developed and automated Dapy's alerting and monitoring system using Observe, Datadog, and Pulumi, with Slack and PagerDuty integration for real-time incident management.

Significantly contributed to the design and development of innovative products and features end-to-end within the Lending Space, encompassing Micro-service architecture, Event-driven chronological jobs, and Domain-driven DB designs.

Enhanced user experience by reducing turn around time by 35% through optimizing database queries, updating legacy code, and leveraging language-specific and technological constructs to enhance performance.

Managed the migration of internal services from the Singapore cluster to the Mumbai cluster, resulting in a 25% reduction in server costs.

Contributed to engineering initiatives, including the implementation of features such as XML to Encrypted PDF conversion, AWS SES for mailing with attachment capabilities for mission-critical applications.

Engineered product analytics by integrating ClickHouse DB to facilitate insights into market performance and areas for improvement. This supported the Business Development team in strategic decision-making.

Developed and implemented configuration management tools tailored to merchant and lender-specific settings. Established a robust auditing system, reducing dependency on SRE by 70% - 80% for testing environments.

Optimized Grafana integration, user journey trace logs and meticulously designed the alerting mechanisms enabling swift bug identification and resolution. Resulted in substantial decrease in downtime.

Designed and implemented the back-end infrastructure for a lending domain dashboard, facilitating loan closure, disbursement approval, and analytics summary. Streamlined operations and enhanced efficiency by automating manual Excel processes.

Developed cron jobs and mailing services using SMTP to automate the generation and distribution of settlement Excel files for loans to lenders, minimizing human intervention.