Help AWS's largest customers optimize their workloads focusing on cost efficiency.Use Python, SQL, Quicksight, Redshift, and Athena to analyze complex cost and usage data and make actionable recommendations to save customers money. Empower customers on their FinOps journey.

Developer for a project team that offers two IoT solutions:1.) Remote Terminal Unit devices that control well sites and transmit data.2.) Multisensor devices that detect and alert for gas leaks using methane sensors and audio capture. Develop in Python for the edge devices and back end services. Develop in ReactJS for the front end. Utilize many AWS services such as S3, DynamoDB, Lambda, IoT/Greengrass, Kinesis, ECR/ECS, and API Gateway.

Developed and maintained Python code to transfer PI sensor data from the Process Control Network hosted in AWS to the reporting Data Warehouse hosted in Azure. These records numbered in the millions per day and were integral for the business analytics program.Used the Serverless framework and a serverless architecture (Lambda, S3, Athena, SQS, API Gateway) to decrease cost and increase scalability

Responsible for management and transferring 45+ terabytes of data associated with a $10 Billion acquisition for a large energy companyUtilize Azure and AWS technologies like AWS Snowball, Azure Data Box, Azure Data Lake, and AWS S3 to handle large volumes of data and make the data available for customers and applicationsAutomate moving data between partners utilizing PowerShell

Application Innovation, Developer

Cloud Infrastructure Services, ArchitectPredictive Enterprise, Developer

Work with various IT projects and POCs to help them get setup in both AWS and Azure cloud environments. Support and optimize both the AWS and Azure platforms using methods including AWS Console and CLI, Azure Portal, CloudFormation templates, Python scripts, and PowerShell scripts. Drive effective cost management, security, governance, and architecture best practices for the cloud.

Develop Business Intelligence reports using SSRS, Spotfire, and Power BI to visualize Lower 48 business unit data and drive better business decisions. Work with Teradata and Informatica tools to integrate data into the business unit's data warehouse.

Design, develop, and test front-end solutions for the Lower 48 master data management system using Oracle, Cisco Information Server, and Spotfire. Enhance data integration techniques using Informatica PowerCenter. Provide data architecture consultation to the Lower 48 business unit.