Worked on a set of Python AWS cloud deployment tools used in the Jenkins enterprise

Created pipeline failure alert system that leveraged pager duty and SQL through Splunk/Snowflake

Tools maintained were run tens of thousands of times per day to deploy resources to AWS

Implemented AWS service deployment tool instrumentation improving error analysis by 81.4%

Developed shift left policies using Rego to automate detecting failures earlier in the pipeline execution

Implemented new data system using Python to improve ingestion runtime through Amazon Kinesis data streams and Grafana framework

Rebuilt large scale legacy systems to integrate into newer Django framework

Maintained zero-downtime deployment systems through Jenkins

Developed and maintained infrastructure using AWS services (EC2, RDS, DynamoDB, Cloud-

Participated in on-call and incident remediation and triage

Created RESTful API using Django which enabled efficient access to critical imaging and

Create data retrieval web application fronted by Javascript framework and Bootstrap

Built imaging data ingestion pipeline using a tiling algorithm allowing faster and more efficient retrieval and analysis

Maintained CI/CD pipeline and deployment on AWS servers using Ansible