Migrated product platform to the cloud and rewrote multiple microservices using FastAPI to ensure seamless integration with the new Python backend architecture.Utilized Python, FAST API, SQL Alchemy, Angular, Github, Azure, Python, PowerBI.

Reconfigured pipeline alert notifications to present critical data from multiple base pipelines, boosting team productivity by promptly identifying and resolving build failures.Utilized Ruby, Rails, Javascript, Groovy, ERB, Confluence, and Jira.

Worked with client in Energy and Commodities to build a scalable optimizer cutting down calculation time from 40 to 9 seconds.Used linear programming algorithms and PowerBi to instantly generate 3 industry standard reports for detailed analysis of user provided data.Utilized Angular Typescript, Node.JS, React, Javascript, SQL, Azure DevOps, Git, Python, PowerBI, UML and ERC diagrams.

Collaborated on project with senior engineer, generating synthetic data for over 2500 tables ensuring that 100% of all testing data to be free of personally identifiable information.Primarily focused on extracting data, edge cases, debugging, and synthetic data generators.Utilized ephemeral testing environment, git bucket, Docker, Kubernetes, Agile, Postgres, MongoDB, Python, SDV machine learning library, Active Record, Ruby on Rails.

Developed an Linear Content Management (LCM) tool for faster XML editing of over 50 nodes containing streaming information using React. Eliminated need for costly XML editor expenses when updating information. Utilized React libraries, UML diagrams, JavaScript, HTML, and CSS in the development process.