Developer Builds Modular Flight Data Pipeline Using dbt Core and PostgreSQL

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A developer recently built an analytics pipeline that ingests real-time aircraft state vectors from the OpenSky Network into PostgreSQL and transforms them using dbt Core. The raw flight data — including aircraft position, speed, altitude, and callsign — required cleaning due to inconsistencies, duplicates, and missing values before it could be used for analysis. Rather than writing a single large SQL script, the developer adopted a layered architecture with modular dbt models organized into staging, enrichment, and analytics layers. dbt handled dependency management, data quality testing, and documentation automatically, allowing each downstream model to build cleanly on the previous one. The project demonstrates how dbt can bring software engineering practices such as modularity and version control to SQL-based data transformation workflows.

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