Why Semantic Models Need Strong Data Engineering Principles

Apr 27 · 8 min read · 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

Engineering a Robust ETL Pipeline for Messy Product Data

Mar 30 · 3 min read · 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

Building a batch processed "Real Time" Retail Inventory Data Platform using ETL + FastAPI + Kafka + Postgresql / Supabase

Mar 27 · 7 min read · 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

What I Learned About Apache Kafka by Running It in Docker

Feb 25 · 3 min read · Why I Started Learning Kafka Github Repository: Kafka Streamcraft As a data engineer student, I recently started building ETL pipelines and working with Docker-based environments. As our projects beca

Aira: Data Engineer Student