Making renewable-energy data orchestration observable.
An end-to-end renewable-energy business-intelligence pipeline that uses Airflow to make ingestion, transformation and serving dependencies explicit and repeatable.
AirflowSnowflakePythonSQLDockerBI
01 / EVIDENCE TRACE
Follow each claim through the system.
ARCHITECTURE.MAPSelect any component to inspect it.
The cyan connection shows where the selected evidence enters the system.
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INSPECTINGBI
The serving layer connects engineering work with a consumable outcome.
Connected to selected evidence
02 / ENGINEERING DECISIONS
Why the architecture looks this way.
01
Orchestration is documentation
A well-designed DAG makes data dependencies and recovery behavior visible.
02
Separate movement from meaning
Ingestion, transformation and serving layers change for different reasons.
03
Design for reruns
Repeatable tasks and explicit dependencies make failure recovery less surprising.
CLAIM.BOUNDARY
Credibility includes saying what the work does not prove.
A public engineering project that demonstrates source-to-BI architecture and implementation. It does not establish production-scale throughput, availability or business impact.