— Present
Walmart Global TechData Engineer III
Build and maintain large-scale data pipelines processing enterprise retail data. Drive architecture decisions for team data infrastructure across distributed compute environments.
— Present
Build and maintain large-scale data pipelines processing enterprise retail data. Drive architecture decisions for team data infrastructure across distributed compute environments.
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Built executive reporting for business-critical transformation initiatives and took end-to-end ownership of data engineering — architecting, building, and maintaining production pipelines in GCP. Applied data modeling principles to design analytics-ready datasets and evaluated emerging technologies to advance team capabilities.
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Designed core semantic data models using Power BI and Power Query for operational, financial, and executive reporting. Built and maintained ETL pipelines to aggregate and cleanse data from diverse sources, ensuring accuracy and availability.
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Developed operational reporting for Fleet Maintenance and Operations using Power BI and Excel. Designed complex DAX measures and leveraged SQL against on-premise SQL Server and MySQL databases. Managed and enhanced core semantic data models for organization-wide reporting.
Web Development
Docker-containerised Next.js application using TailwindCSS for styling, hosted on Heroku with GitHub Actions for CI/CD.
Web Development
Cooperative web app for collaborative text editing with a Git-inspired version control system for user-generated content. Written in Flask with a SQLite backend.
Data Engineering
Self-service analytics pipeline for the Oura Ring biometric tracker. Pulls data via the V2 API and visualises sleep, stress, and activity metrics in a Streamlit app.
Data Science
Web scraper and NLP pipeline that extracts interview Q&A from Thrasher Magazine, transforms the data through DBT, and scores each interview's sentiment with NLTK.
App Development
Native cross-platform desktop app for exporting complete BigQuery resultsets to CSV — no client libraries needed. Written in Go with the Fyne UI framework.