[Verse 1] In the warehouse where the data sleeps Build your models with dbt deep Transform the messy into clean and bright Tests and documentation make it right From staging tables to the final mart Every lineage tells its part [Chorus] Analytics engineering, piece by piece Models, tests, docs, lineage release Dimensional stars and one big table too Reverse ETL brings it back to you Monte Carlo watches every flow Data trust is how we grow [Verse 2] Kimball taught us facts and dimensions Star schemas need our close attention Activity streams track every click One big table makes joins quick Choose your pattern, serve it well Let the business story tell [Chorus] Analytics engineering, piece by piece Models, tests, docs, lineage release Dimensional stars and one big table too Reverse ETL brings it back to you Monte Carlo watches every flow Data trust is how we grow [Bridge] Semantic layers hold the truth Metrics defined from roof to roof Consistent logic, same result Whether you're sales or ops consult Elementary checks for breaks Anomaly alerts for data's sake [Verse 3] Reverse the pipeline, sync it back Salesforce needs that warehouse track Customer scores and LTV Operational tools can finally see What the analysts have known Seeds of insight fully grown [Final Chorus] Analytics engineering, piece by piece Models, tests, docs, lineage release Dimensional stars and one big table too Reverse ETL brings it back to you Observability keeps watch below Trustworthy data helps us grow [Outro] From Reis and Housley's engineering mind To Kimball's toolkit, truth you'll find Build it right and build it true Analytics engineering's calling you
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