ph pulse
source2025 · data pipeline
philippine socioeconomic data made queryable, pipeline to warehouse to insight.
python ingestion pipelines, dbt transformations, bigquery as the warehouse, and gemini-powered insights on top. the whole path from raw source to answered question, built as one system.
python · dbt · bigquery · gemini
- problem
- philippine socioeconomic data is public but scattered across agencies, formats, and release schedules, so every question starts with a week of cleaning.
- pipeline
- python jobs pull each source on its own schedule into bigquery, and dbt models turn the raw tables into tested, documented ones, region by region and year by year.
- insight
- gemini sits on top of the modelled tables and answers questions in plain language, showing the query it ran so the answer can be checked.
- why build it whole
- owning every step from raw file to answer meant every number could be traced back to where it came from.
updated oct 2026next zen