πby3 x Databricks

Transform Enterprise Data into Real-Time Intelligence

πby3 is a Databricks Bronze Partner and Global System Integrator — implementing the Databricks Data Intelligence Platform across data engineering, ML and AI workloads for enterprises.

✓ Databricks Partner

Our partnership with Databricks is grounded in a shared belief: that data and AI should not be separate disciplines requiring separate platforms and separate teams. On Databricks, they are one. And with πby3, that unity translates into measurable outcomes for your organization.

As a certified Databricks Partner, we bring the Lakehouse expertise, the data engineering depth, and the AI delivery experience to help enterprises adopt, scale and extract maximum value from the Databricks Data Intelligence Platform on AWS, Azure or GCP. Because the gap between data potential and data value is not a platform problem. It is an implementation problem. And that is exactly what we solve.

Ready to Transform?

Let's discuss how Databricks and πby3 can help you achieve your cloud goals and unlock new possibilities for your organization.

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Databricks Certifications Held
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Enterprise Projects Delivered
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Years of Partnership
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Continents Served

Focus Areas

Databricks Lakehouse unifies your data engineering, analytics, and AI workloads on a single governed platform. πby3 architects and implements it for your data volumes, your cloud, and your compliance requirements.

From batch ingestion to real-time streaming, we build production-grade data pipelines on Databricks using Delta Live Tables, Auto Loader, and structured streaming. Pipelines that run, recover, and scale without constant intervention.

We implement MLflow-powered ML workflows and Databricks-native GenAI solutions that move from notebook to governed, monitored production. AI that earns its place in your business operations.

What This Partnership Makes Possible

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Data and AI on a Single, Unified Foundation

πby3 implements Databricks Lakehouse architecture, Delta Lake, medallion architecture, and Unity Catalog, giving your organization one governed data foundation where analytics and AI run together, without compromise.

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AI Built on Data You Can Trust

AI is only as valuable as the data behind it. πby3 builds the data engineering layer on Databricks, pipelines, transformation frameworks, and data quality controls, ensuring the data powering your models is accurate, fresh, and production ready.

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A Platform Built to Scale

πby3 engineers Databricks environments designed to grow, in data volume, model complexity, and AI use cases, so your organization always has the foundation it needs to move faster and build bigger.

DATABRICKS SERVICES WE OFFER

Databricks Partner

Frequently Asked Questions

Everything you need to know about πby3's Databricks services

Yes. πby3 is a certified Databricks Partner. Our engineers hold active Databricks certifications and our partnership is verifiable through the Databricks partner directory.
Certified Partner Databricks Certified
Our Databricks practice covers Lakehouse architecture and implementation, data engineering and pipeline development, data migration to Databricks, analytics and BI, machine learning and MLOps, generative AI on Databricks, Unity Catalog governance, multi-cloud Databricks deployment, and ongoing managed services.
Lakehouse Architecture Data Engineering Data & Analytics Machine Learning & MLOps Generative AI Managed Services
We deploy Databricks across all three major cloud platforms: AWS, Azure, and GCP. Our engineers understand the specific configuration, integration, and governance considerations that each cloud context brings to a Databricks deployment.
AWS Azure GCP Multi-Cloud Deployment
Yes. We have experience migrating from legacy environments including Teradata, Oracle, Hive, and legacy cloud warehouses to the Databricks Lakehouse Platform. Our migration approach covers data estate assessment, pipeline conversion, schema redesign, and validation at every stage to protect data integrity throughout.
Data Migration Schema Design Pipeline Conversion Data Integrity
Both. Our Databricks practice spans the full data and AI lifecycle, from data engineering and lakehouse architecture through to ML model operationalization, MLOps, and production generative AI on Databricks. We are a single partner for the complete data intelligence journey.
Machine Learning Generative AI MLOps Data Engineering
The medallion architecture is a data design pattern used in Databricks Lakehouse environments — organizing data into three layers: bronze (raw ingested data), silver (cleaned and validated data), and gold (business-ready, aggregated data). Yes — we implement medallion architecture as standard in our Databricks Lakehouse engagements, as it provides the data quality and readiness structure that analytics and AI workloads require.
Medallion Architecture Data Quality Lakehouse Design
We embed FinOps discipline into every Databricks environment we build, designing cluster policies, auto-scaling configurations, spot instance strategies, and cost monitoring dashboards that give your organization visibility and control over Databricks compute spend from day one.
FinOps Cost Optimization Compute Governance
πby3 is headquartered in India and serves clients across India, North America, and Australia. Our distributed team is structured for effective cross-timezone delivery with clear communication and governance built into every Databricks engagement.
India North America Australia

Trusted by Industry Leaders

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From first lakehouse to full-scale AI infrastructure, πby3 brings the certifications, the accelerators, and the cross-cloud depth to get you there, with confidence.