NHTSA Vehicle Data Platform

Sun, 03 May 2026 00:00:00 +0000

API-driven vehicle safety data project focused on turning NHTSA public recall data into repeatable, dashboard-ready analytical outputs.

The project is scoped around practical data engineering work: ingesting recall records from the public API, shaping them into medallion-style analytical tables, and preparing relational outputs for trend, manufacturer, component, and campaign-level reporting.

View GitHub Repository

Python NHTSA API PostgreSQL Supabase ETL Medallion Modeling Power BI Data Engineering

Current focus areas:

NHTSA public recall API ingestion
Repeatable cleaning and normalization of recall records
Medallion-style modeling for analytical datasets
PostgreSQL/Supabase-ready relational structures
Dashboard-ready outputs for recall, manufacturer, component, and campaign analysis
Documentation of data design decisions during the 100DayDash challenge

Design notes:

API ingestion and transformation are separated so raw records can be preserved while modeled tables evolve.
Medallion-style layers provide a clear path from raw recall data to curated analytical outputs.
Relational structures support dashboard tools without locking the project to one BI platform.
Documentation captures tradeoffs and implementation decisions as the project matures.

Data Engineering |

NHTSA Vehicle Data Platform