Automated Gates
Every run enforces expectations. If records violate rules, they’re dropped or isolated.
Why Legacy ETL is Failing You
Impossible Debugging
Trying to find an error in a 500-step Informatica mapping? Good luck.
No Real Version Control
Storing XML exports in Git isn't real version control. You need granular diffs.
The 3 AM Pager Duty
Pipelines break silently, and you only find out when the CEO asks where the dashboard is.
The New Standard: dbt + Databricks
Separate the platform from the logic. Let Databricks run reliable pipelines, while dbt makes transformation logic readable, testable, and reviewable.
The Engine
Delta Live Tables (DLT)
Automate dependency management and operational reliability without writing brittle orchestration glue.
Built-in dependency graph
Retries + autoscaling
Streaming or batch, same pattern
The Logic
dbt (Data Build Tool)
Write modular SQL, enforce quality with tests, and ship documentation with every change.
Jinja templating for reuse
Tests as a default, not an add-on
Docs + lineage generated from code
See the Difference
Same outcome, different clarity. Legacy ETL hides the rules inside a click-heavy tool. Modern pipelines keep the rules in readable files so teams can review changes and fix issues faster.
Faster to find problems
Issues point to a specific place, not a maze.
Clear change history
You can see exactly what changed and why.
Built-in safety checks
Bad data is stopped before dashboards break.
Our Migration Process
01 
Logic
Logic
Extraction
We parse XML/JSON exports from legacy tools to extract SQL logic.
02 
dbt
dbt
Modeling
Refactoring monolithic logic into reusable 'Staging' and 'Mart' models.
03 
CI/CD
CI/CD
Setup
Implementing GitHub Actions / Azure DevOps to test code before it hits production.
04 
Orchestration
Setting up Databricks Workflows to schedule the jobs.
Quality is No Longer Optional
With DLT Expectations, bad data is quarantined automatically. No more broken dashboards.
PR-Driven Reliability
Changes ship with tests and docs. Review diffs like software.
Architecture Demo
What you’ll see
From Informatica export to dbt models
DLT graph and operational guarantees
Tests + docs generated in CI
Promotion to prod with approvals
Ready to treat your Data like Software?
See a live demo of a dbt pipeline running on Databricks.
