AI
AWS
Agile
Algorithms
Android
Apple
Backend
Bash
C++
Cloud
Csharp
The data engineering world in a nutshell: fancy tools vs. reality. On one side you've got the slick conference talk version—Airflow orchestration, dbt transformations, Dagster pipelines, Prefect workflows, and Dataform for that enterprise touch. Cool, composed, Olympic-level precision.
Then there's production: a stored procedure from 2009, a Python script held together with duct tape and prayers, and a cron job that nobody dares to touch because "it just works." The guy who wrote it left three years ago and took all the documentation with him (assuming there was any).
Modern data stacks are great until you realize 80% of your company's revenue still depends on run_etl_final_v2_ACTUAL_final.py running at 3 AM.
