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Mohib Ahmad
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Foundations2026 · built · public

GDP Analytics Pipeline

A modular analytics pipeline built to test how far dependency inversion pays for itself before the wiring costs more than it saves.

The problem

An analyzis script becomes hard to extend the moment input and output choices are coupled to transformation logic.

For: Engineers reviewing architecture fundamentals.

What I built

A layered pipeline with core contracts, pluggable CSV and Excel readers, console and graphics writers, and configuration-driven driver selection.

The hard part

Keeping dependencies pointed at core abstractions while leaving the pipeline simple to run.

The tradeoff

Accepted indirection in exchange for boundaries that make a new source a small change.

What this does not do

  • A coursework-scale system. The architecture is the point, not the dataset.