Implement the pipelines
Ingestion from web analytics, product events, CRM and ad platforms into Delta tables, using Auto Loader or Lakeflow Connect where it fits.
4.9 / 5Databricks developers for your customer-facing data.
Databricks developers who bring website, product and marketing data into your lakehouse as clean Delta tables your analysts can use.
Selected work, in motion.
The digital experiences that connect to a wider business system.Notebooks are not production.
Customer data often reaches Databricks through notebooks someone runs by hand. That works until the day it does not.
BeforeAfter
A notebook someone runs every MondayScheduled Databricks Jobs with retries and alerts
Raw event JSON nobody can queryBronze, silver and gold Delta tables with clear schemas
Bad data found in the board reportQuality checks that stop bad rows before they spread
Code living in personal workspace foldersVersion-controlled code deployed through Git and Asset Bundles
What's included
From events to tables.
We build the Databricks work that touches websites, products and marketing tools. Platform architecture stays with your data team or a specialist consultancy.
Transform the data
PySpark or SQL transformations that clean, join and aggregate raw events into bronze, silver and gold tables with documented schemas.
Build in quality checks
Expectations on row counts, nulls, duplicates and freshness, so broken data is quarantined instead of reaching dashboards.
Monitor the workflows
Databricks Jobs scheduled with retries, run alerts and cost visibility, with code in Git and deployed through Asset Bundles.
Security, by consideration.
Trust is part of the build.
For your Databricks project, we consider data sources, workspace permissions, pipelines and downstream consumers as part of one connected build.
See our approachConnected systems. Considered safeguards.
Changes you can trace.
GitHub workflows, peer review and dependency checks bring decisions into the release process.
Protected in transit.
Certificate configuration, HTTPS and secure headers help protect the path between your users and your systems.
Intelligence with limits.
Scoped tool access, validated inputs and human approval where automated actions carry consequences.
Scoped to your data.
We work inside your Databricks workspace, alongside your data team.
- 01
Scope
We map the sources, target tables and the questions the data must answer.
- Source map
- Table design
- Delivery plan
- 02
Build
Pipelines, transformations and checks built in Git, reviewed and deployed through bundles.
- Pipeline code
- Delta tables
- Quality rules
- 03
Run and hand over
Jobs scheduled and monitored, then documented for your team.
- Job schedule
- Alerting
- Runbook
Built for what’s next.
Built to driveMore sign-ups.
Built to driveMore memberships.
Built to driveBetter-qualified leads.
Built to driveMore qualified candidates.
Built to driveMore enquiries.
Built to driveMore qualified demos.
Built to driveMore workplace demos.
Built to driveMore business accounts.
Built to driveMore free trials.
Built to driveMore building owners.
Built to driveMore free sign-ups.
Private Villas MexicoBuilt to driveMore direct bookings.
Built to driveMore committed players.
Built to driveMore returning customers.
Built to driveMore meaningful demos.
Built to driveBetter talent connections.
Built to driveMore course creators.
Built to driveMore product discovery.
Trusted across our practice
Working together. In their words.
Independent reviews. Long-term working relationships.
“We’ve been working with Stega & Gabriel for the last two years. Cannot recommend them enough. They’re responsive, professional & an asset.”
“After a website (re)launch, they are also always accessible and happy to help. I highly recommend everyone who is looking for a new and more stable website in Webflow, to work with Stega!”
“Stega Creative team not only understood our needs and vision for the websites, but they also came up with improvements.”
Databricks development questions.
A few things worth discussing before your Databricks development takes shape.
Can Databricks developers work inside our existing workspace?
Databricks developers from Stega work inside your existing workspace, under the Unity Catalog permissions you grant. We follow your repository and bundle conventions, and our code goes through your review. Workspace architecture, cluster policies and platform strategy stay with your data team or a specialist Databricks consultancy.
Should Databricks pipelines live in notebooks or in Git?
Databricks pipelines belong in Git once they run on a schedule. Notebooks are fine for exploration, and they can sit in Git folders too. We move production logic into version-controlled code, review it like any other software and deploy it with Databricks Asset Bundles, so every change is traceable.
What are Databricks Asset Bundles?
Databricks Asset Bundles define jobs, pipelines and their settings as code, stored in Git beside the source they run. One command deploys the same bundle to development, staging or production targets. We use bundles so every environment is reproducible and every change to a job is reviewed.
How much does Databricks development cost?
The price depends on the number of sources, the transformation logic and how much monitoring you need. We estimate compute alongside our fee, because a cheap build that runs expensive jobs is no saving.
Revamp today.The 
way.
Your ambition. Our collective craft.
Strategy, design and technology, working as one.