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Add a DuckDB lakehouse for NEM prices and data-centre load - #1
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Land 36 months of public AEMO price and demand plus Open Electricity daily generation, model them with dbt-duckdb, and publish a static dashboard. The load scenarios are an illustrative flat-load balance, not a forecast. Co-authored-by: LuciferDataEngineer <LuciferDataEngineer@users.noreply.github.com>
Add the recruiter README, with architecture, sources and the real September 2026 figures, plus desktop and mobile screenshots. Co-authored-by: LuciferDataEngineer <LuciferDataEngineer@users.noreply.github.com>
CI checks out only the Parquet snapshot, so data/warehouse does not exist yet. DuckDB will not create the parent directory itself. Co-authored-by: LuciferDataEngineer <LuciferDataEngineer@users.noreply.github.com>
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Summary
A local analytics lakehouse for Australia's National Electricity Market, built only from free public data. It tracks regional prices, demand, volatility, negative-price hours and renewable share, then shows what a flat data-centre load would do to peak stress.
The scenario layer is an illustrative energy balance. It is not a forecast and it does not reproduce the Smart Energy Council's $40 billion price study.
Data
RRPandTOTALDEMAND, NSW1, QLD1, VIC1, SA1 and TAS1, 1 November 2023 through 27 October 2026. Half-hour facts are aggregated from those intervals.Headline figures (from the marts)
Stack
Python ingest (watermark, retries, YAML contracts) → bronze Parquet → dbt-duckdb (staging, intermediate, marts, tests, freshness, exposure) → static ECharts dashboard. Dagster assets, Makefile, Docker, and GitHub Actions for CI, Pages, and a weekly refresh that does not fail if AEMO is unreachable.
Dashboard (after Pages is enabled on main): https://luciferdataengineer.github.io/nem-grid-pulse/
Do not merge yet. Pages needs to be enabled after merge.