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⚡ AI Lessons
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
2d ago
Windmill for Data Engineering: TypeScript/Python Scripts, Flows & Self-Hosted OSS
windmill is the pick-one architectural decision that finally collapses "we need an orchestrator and an internal-tool builder and a secret… Continue reading on M
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
3w ago
Building a Production-Style Weather Analytics Pipeline from Scratch: ETL, ELT, Star Schema, and…
How I designed and built an end-to-end data engineering system that any team could inherit, run, and extend — using Python, DuckDB, Apache… Continue reading on
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
4w ago
Why Every Data Engineer Should Run poe all Before Every Git Push
How a simple command can save hours of debugging, reduce CI failures, and improve your team’s code quality. Continue reading on Medium »
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
1mo ago
Building an End-to-End Data Engineering API with FastAPI, PostgreSQL, Docker and Google Cloud
Designing a production-ready data ingestion pipeline with validation, analytics, testing, and cloud deployment. Continue reading on Medium »
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
1mo ago
Why Apache Airflow is a Game Changer for Data Engineering
If you’re getting into data engineering, you’ve probably heard the term “Airflow” thrown around a lot. Continue reading on Medium »
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
1mo ago
Your Scraper Re-Downloads Everything. Most Didn’t Change.
Your scheduled scraper re-downloaded the whole corpus last night. A few thousand records. About forty of them actually changed since the… Continue reading on Me
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
1mo ago
You’re Moving Data You Never Had to Move.
Five Snowflake patterns that quietly kill your external ETL — and the gotchas nobody warns you about. Continue reading on Medium »
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
1mo ago
How I used Prefect for local pipeline orchestration on Windows with minimal setup
Workflow orchestration is one of the core requirements in almost every data engineering role. Continue reading on Medium »
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
1mo ago
The freshness problem in Data Pipelines, and How to solve it in Airflow
Silent data failures are the worst kind. Here’s a system that makes them impossible Continue reading on Medium »
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
1mo ago
Creating ADLS Gen2 Shortcuts in Microsoft Fabric via REST API — What the Docs Don't Tell You
A field guide for data engineers who've hit the 404/EntityNotFound wall Continue reading on Medium »
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
2mo ago
How I Built a Self-Updating Cloud Data Lake for $0 Using Python and GitHub Actions
A step-by-step guide to engineering a production-grade, hands-free ETL pipeline with Change-Data-Capture (CDC) logic. Continue reading on Medium »
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
2mo ago
How I Built an AWS Data Engineering Smoke Test with ECS, S3, and Athena
A walkthrough of how I built a synthetic data ingestion engine with Python, Codespaces, and AWS, why I did it, and key lessons learned Continue reading on Level
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
2mo ago
The Hidden Complexity of Data Engineering in Regulated Industries (And What It Taught Me About…
Strict data formats and compliance requirements teach you more about clean software design than any course. Here is what working in a… Continue reading on Level
Medium · Python
🔄 Data Engineering
⚡ AI Lesson
3mo ago
I Stopped Fixing Broken Parsers at 3 AM , Here’s How We Outsourced Our DOM Extraction
It’s 3:00 AM on a Tuesday. Your PagerDuty alert is ringing. Continue reading on Medium »
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