OUR SERVICES
Data Engineering
Most data engineering projects don't fail at launch. They quietly fail downstream, when the architecture can't support what the business actually needs next. We build data infrastructure on Databricks Lakeflow that's designed to last.
We don't just build pipelines.
We build what comes after them.
OUR APPROACH
Our Databricks-certified engineers join your team from day one: bringing credentials, experience, and the judgment to make decisions that compound value over time.
🧑🏽💻
Engineering talent that delivers
Senior practitioners do the work, not just oversee it. Our teams are senior-heavy by design, which means experienced engineers are actually doing the hands-on work.
Fewer handoffs, less rework, and decisions that move faster. No junior-heavy teams learning on your dime, no layers of oversight slowing things down.
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Industry knowledge that closes the gap
Most consulting firms start from scratch every time they enter a new industry. We don't. Because we work repeatedly in the same sectors, our engineers bring pattern recognition that only comes from seeing the same problems solved many times over.
That accumulated knowledge is what prevents the expensive mistakes that generic teams make on their first project in your industry.
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Strategic architecture, built to scale
We build for where you're going, not just where you are. Every engagement is designed to deliver value now and accelerate the next phase.
Our MLOps Quickstart framework bakes in AI governance, access controls, monitoring, and observability from the start, so when your AI ambitions scale, the foundation is already there.
& Governance
OUR PHILOSOPHY
Build a data skyscraper
Think of Databricks as the most advanced building material available: strong and flexible enough to create a landmark, not just a structure. But like any skyscraper, what determines whether it stands tall isn't the material. It's the foundation.
SPECIALIZED SPECS
ML & AI Functions
INTERIOR DESIGN
Analytics & BI
SPECIALIZED SPECS
ML & AI Functions
SECURITY
Data Security & Governance
FOUNDATION
Data Engineering
INFRASTRUCTURE
DevOps
Without expertly laid pipelines and a solid engineering base, even the most ambitious analytics, ML, and AI projects will falter. Every floor you want to add (governance with Unity Catalog, real-time analytics, natural language queries with Genie) depends on what gets built first. Data Engineering is that foundation
WHAT WE DELIVER
How we empower your data journey
Each of these isn't a standalone service, they're interconnected phases of the same value journey.
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![Databricks migration services — seamless legacy system migrations on time, on budget, with 60-80% faster change management using SunnyData's proprietary accelerators]()
Migrations to Databricks
Our exclusive focus on the Databricks platform enables seamless migrations from legacy systems, with minimal risk and disruption:
✓ Legacy migrations on time and on budget✓ 60–80% faster change management with our proprietary accelerators
✓ Specialized solutions for highly regulated industries
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![Databricks Lakehouse implementation — one governed foundation for analytics, data science, AI, SQL workloads, MLOps, and scalable on-demand compute]()
Databricks Lakehouse Implementation
We build your Databricks Data Intelligence Platform on proven lakehouse architecture: one governed foundation for analytics, data science, and AI.
✓ Unified platform for analytics, data science, and regulatory compliance✓ Support for SQL workloads, MLOps, and AI applications
✓ Scalable architecture for on-demand compute needs
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![atabricks Unity Catalog implementation — standardized ML and AI governance across the enterprise, enabling data discovery and audit-ready compliance]()
Unity Catalog Implementation
We implement Unity Catalog to ensure data governance that meets internal and external audit requirements:
✓ Standardized data, ML, and AI governance across your enterprise
✓ Open up data discovery and access to business users
✓ Governance that enables rather than hinders innovation
WHY IT MATTERS
Built for Databricks. Not just capable of it.
When a generalist consultant takes on a Databricks project, you pay for their learning curve. Multi-platform firms spread their senior talent across ten or more technologies, Databricks being one of many.
Our entire bench is Databricks, all the time. Every pattern we've built, every edge case we've solved, every accelerator we've developed came from doing only this.
Large consulting firms grow by adding headcount. We grow by going deeper: more Databricks experience, sharper patterns, faster time to value.
Take the next step in your data journey
Learn how SunnyData can help solve your most challenging data engineering problems.