Role: Lead Software Developer 2019-2021
Project Description: An internal, company-wide business intelligence web application that allowed hundreds of daily users to utilize custom analytical tools and predictive models integrated with Power BI and Tableau.
Tech Stack: Angular, TypeScript, Node.js, JanusGraph, S3, Docker, Python, Kubernetes, and CICD Azure DevOps Server (TFS) pipelines
Key Contributions:
Led a team of two junior developers in creating an Angular and NodeJS application which connected users to data in the Hadoop Distributed File System to customize sandboxes and query data for analysis, improving user efficiency by 60%
Managed cloud-native deployments using Docker, Kubernetes, and CICD Azure
DevOps Server (TFS) pipelines for streamlined and automated deployment
processes while solving deployment issues and production bugs using Kanban
DevOps Server (TFS) pipelines for streamlined and automated deployment
processes while solving deployment issues and production bugs using Kanban
Integrating Dremio, linter and SandDance allowing users to streamline their code, create responsive data visualizations and improve data integration.
Built dynamic UI components in Angular to support advanced filtering, drill-downs, and data exploration, enhancing usability for analysts and business stakeholders.
Implemented role-based UI views and permissions, ensuring secure data access across various business units and maintaining compliance with internal governance standards.
