Pipelines, warehouses, and observability
Three topics, one lesson each: a short primer, links to primary documentation, and exercises to prove the concept has stuck. Start with Observability & Log Analysis.
Structured logs, correlation IDs, and reading Datadog/Splunk/Prometheus dashboards as one picture instead of three.
Start lessonSnowflake, BigQuery, dbt, and the ELT model — orienting yourself in an unfamiliar warehouse fast.
Start lessonAirflow DAGs, backfills, and why a pipeline can fail silently for days before anyone notices.
Start lessonWhat building this project taught me.
Modern data stack fluency was the #4 self-identified gap from Tom's job-hunting skills scan, spanning both the warehouse layer and the pipeline/transformation layer — hence two modules covering it instead of one.
Each topic card only becomes clickable when its lesson page ships, matching the convention set by TSE Onboarding.
