Airbus data internship

Context

Engineering teams needed fast access to product-structure data to answer questions about parts, BOMs, and potential change impact. Legacy data existed but was not easily searchable or visualized.

My Role

Built a dashboard to search product structures by serial/manufacturing number
Developed ETL pipelines to clean and expose legacy datasets
Delivered a simple web interface for quick queries

Stack

Skywise ecosystem
SQL + Python
Dashboarding tools

Decisions & Tradeoffs

Prioritized fast, queryable tables over complex data models
Focused on usability for non-technical engineering users

Outcome & Impact

Dashboard enabled faster engineering queries
Cleaned data pipelines improved reliability of analysis

Learnings

Data quality work matters as much as dashboards
Simple query interfaces unlock adoption faster than complex tools

Media (optional)

Placeholder for dashboard screenshot