Data Transformation

Transform raw data into analytical assets using modern transformation patterns, frameworks, and orchestration tools.

Purpose

Select and implement data transformation patterns across the modern data stack. Transform raw data into clean, tested, and documented analytical datasets using SQL (dbt), Python DataFrames (pandas, polars, PySpark), and pipeline orchestration (Airflow, Dagster, Prefect).

When to Use

Invoke this skill when: