Data Engineering Pipelines
pandas at scale, PySpark, Airflow/Dagster, Parquet/Arrow — the Data Engineer lens on Python.
Why we need this / what value this brings
Even outside Localz, pipeline/ETL fluency in Python is a core transferable skill for senior/staff roles.
When to use this
Batch data movement, transformation jobs, or any pandas script that's outgrown a single machine.
How to use or implement this
Start with pandas + chunking, graduate to PySpark only once data volume actually demands it — YAGNI applies here too.
Research questions
- (add as research surfaces open questions)
Empty folder — drop notes, links, and findings here as you research.