• Worked to continuously improve the security and reliability of the infrastructure by designing automated monitoring and alerting tools.• Developed a python and troposphere based AWS infrastructure release tool.• Used the Serverless Framework, Kinesis, DynamoDB, Athena, EMR, Glue, S3, and other AWS components to develop a big data data lake infrastructure.• Used AWS Machine Learning to develop a system which would automatically detect data quality issues and notify data owners.• Infrastructure-as-code, CI/CD, and other DevOps practices were used to eliminate human error and promote continued innovation.• Used the AWS Cloud Development Kit to create and deploy Glue Crawlers to automatically crawl the data lake and generate and maintain Glue/Athena table schemas.

• Developed AWS infrastructure solutions for clients using DevOps best practices.• Used Lucid Charts to import existing AWS infrastructures and architect new solutions.• Example projects: - Developed a CloudFormation template to provision an Elastic Container Service cluster to deploy a Docker application to AWS. - Used Python and Selenium to develop an integration test suite for a SaaS website. - Reviewed and documented a legacy Python based API application. - Developed Powershell scripts to parse Veeam Backup logs and report to central server. - Setup cross-account roles to assist clients in accordance with AWS best practices. - Used Terraform, Jenkins, Ansible Tower and AWS components (EC2, ASG, ALB, and RDS) to architect a highly available Wordpress solution. - Used Packer.io to provision a custom Windows AMI.

• Developed AWS infrastructure-as-code architectures to improve software deployments.• Used Packer.io and Ansible to develop base AMIs that are used for several different software stacks.• Used CloudFormation to take the base AMI and create a full AWS stack for each of the software stacks.• The stacks use CodePipeline and CodeDeploy to assist in releasing new software without having to spin up new EC2 instances each release.• Developed a Powershell script to assist in monitoring on-premise and AWS instances using CloudWatch.

• Member of a development team for a Django based customer resource management platform.• Worked with front end technologies such as AngularJS, JavaScript, HTML, CSS and Bootstrap.• Used Team Foundation Server to manage task tracking.• Participated in daily Agile status meetings and worked towards sprint goals.• Developed a REST admin API using Flask, Swagger, Pytest, MongoDB, JWT and bcrypt.• Developed a REST admin API using AWS Lambda, Serverless, Pytest, DynamoDB and JWT.• Used Pep8 standards and Sphinx formatted docstrings.

• Updated existing software to Pep8 standards with Sphinx formatted docstrings.• Reworked existing code base into an object orientated design model.• Worked with team members to implement an Agile development environment.• Implemented test driven development using the unittest framework.• Used Numpy and Pandas to develop analytics solutions related to solar energy output.