Search for a command to run...
Series
This series features the final projects from my Data Engineering program. Each post dives into a graded challenge to showcase the technical skills learned.
For my Big Data and Cloud Platform Development Course, I used the Databricks platform to build Marathos Atlas. The whole learning goal was to build a lakehouse workflow that transforms raw global mara
For this project, Data Engineers and UX Designers worked on building a Netflix analytics dashboard using Streamlit. The goal was to turn raw ranking data into something structured, interactive, user-f
Principles of Good Data Engineering One major challenge is the ambiguity in metrics and the ambiguity in human questions. For data to deliver meaningful answers, the underlying data must be supported
I built an ETL pipeline that takes messy product data from a CSV file, cleans and validates it, and loads both trusted and rejected records into PostgreSQL. https://github.com/Akina-Aoki/data_ops_work
Product Finder is a retail data platform prototype built for SportsWear AB. The goal is simple: take inventory and sales events from operations, process them in a reliable pipeline, and turn them into
