Notebook

ETL Pipeline Optimization

Jupyter analysis of data pipeline performance and bottlenecks

January 2024
PythonPandasSQL

The Problem

Legacy ETL processes were slow and lacked observability.

Approach

Profiled pipeline stages, identified bottlenecks, and documented optimization strategies.

Outcome

Recommendations led to 60% reduction in pipeline runtime.