Ingest patterns
Batch loads, landings, and retries that match how source systems actually behave.
Training program
Design pipelines, warehouses, and checks so analytics does not depend on a laptop and a hero.
What you get
Batch loads, landings, and retries that match how source systems actually behave.
SQL-first transformations with tests on grain, uniqueness, and freshness.
Tables designed for the reports you already run — not an abstract enterprise model.
ADF (or equivalent) jobs with dependencies and a plan for late arrivals.
Logs and alerts a support person can act on at 8am.
Write the handover you would want if you were on call next week.
How we work
Core concepts, clean habits, and the shortcuts that save hours before any advanced work begins.
Live exercises on realistic datasets with a trainer in the room — not a silent video library.
Assignments mapped to the files and questions you actually face in your role.
Feedback on your work, not just a score. You see what to fix before the next session.
A portfolio piece employers can review: a dashboard, model, pipeline, or analysis pack.
Interview prompts, a walkthrough of your project, and guidance on how to talk about the work.
Client stories
I stopped treating pipelines as a black box. The runbook exercise was brutal and useful.
Azure labs felt like work, not a certification dump.
I used the capstone diagram in interviews. Interviewers asked about failure modes — I had answers.
Help centre
Helpful, not required. We cover Azure fundamentals in class and keep the first pipeline small.
Live sessions with recordings for revision. Corporate batches can be scheduled to your team’s timezone.
Yes, after you complete the capstone. The project is the part hiring managers actually look at.
Yes. We run private corporate batches on your files when that is more useful than public examples.
You get the recording and can book a short catch-up with the trainer during the cohort.
Ask about the next data engineering cohort or a private batch for your platform team.
Contact us