Welcome to our sample Data Engineering portfolio!

A relational database with analytics-ready views connecting Citi Bike and weather datasets. The project involved:

• inspecting and cleaning both datasets
• developing a relational database structure
• implementing the database in PostgreSQL and inserting the dataset
• developing flexible analytics-ready views on top of the relational database

A semi-automated bash+python pipeline to regularly transform a messy SQLite database into a clean source of truth for an analytics team. The pipeline

• performs unit tests to confirm data validity
• writes human-readable errors to an error log
• automatically checks and updates changelogs
• updates a production database with new clean data

A project to deploy the output of subscriber-pipeline to a MongoDB database on DigitalOcean Cloud. The project included

• creating a new MongoDB instance on DigitalOcean
• connecting to the cloud MongoDB using MongoDB Compass
• uploading the clean dataset as a NoSQL Collection
• validating the final dataset