Software Engineer II

Designed and developed a high-throughput, Golang-based URL commission tracking platform, exposing secure RESTful APIs with token-based authentication and authorization mechanisms for affiliate attribution and tracking.

Architected and implemented scalable Python data ingestion pipelines to process and transform large volumes of affiliate and commission data on a daily basis, ensuring data quality, reliability, and operational efficiency.

Developed comprehensive automated testing strategies using Pytest and Go's native testing framework, including unit, integration, and end-to-end tests to improve code quality and deployment confidence.

Designed and provisioned an Amazon S3-based data lake architecture using AWS CloudFormation, and orchestrated automated ETL workflows to load and synchronize data into Amazon Redshift, Cassandra, and MySQL using AWS Glue.

Built and maintained CI/CD pipelines using CircleCI, Jenkins, and Ansible, automating build, test, release, and deployment processes for containerized and distributed applications running on Amazon EC2 behind Elastic Load Balancers (ELB).

Implemented observability and operational excellence practices by instrumenting application and infrastructure metrics, dashboards, logging, and alerting using Prometheus, Amazon CloudWatch, Datadog, and Periscope, enabling proactive monitoring and rapid incident response.

Collaborated with cross-functional engineering, product, and data teams to deliver highly available, scalable, and maintainable cloud-native solutions supporting large-scale affiliate marketing and commission processing systems.