You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Cloud ETL pipeline for LendingClub 2018Q4 loan data using Azure Databricks (Spark), ADLS Gen2, and Azure SQL. Includes notebooks, PySpark modules, and SQL scripts.
My final project for the Microsoft Future Ready Talent Virtual Internship Program is a user-friendly website. It uses Azure App Service and Azure SQL Database to display recent search history and employs Azure AI Service (Translator) for seamless content translation.
CQRS stands for Command and Query Responsibility Segregation, a pattern that separates read and update operations for a data store. Implementing CQRS in your application can maximize its performance, scalability, and security.
End-to-end data engineering pipeline implementing Medallion Architecture (Bronze-Silver-Gold) for trip transaction analytics. Automated ETL using Azure Data Factory, Databricks, and Delta Lake with real-time monitoring and email notifications via Logic Apps.
Complete solution that helps store owners track the occupancy of their stores in real-time and also provides historical data for business analysis through graphs. Group project by me, Joshua James Lewis, Ani Vladislavova Boyadzhieva and Vlad-Andrei Gruia, part of our 3rd semester courses in Programming and Technology.