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Transform Enterprise Data
into Real-Time Intelligence
Accelerate your journey from raw data to actionable insights with Databricks' Unified Data Intelligence Platform. Expertly delivered by πby3's world-class data engineering teams.
Ready to Transform?
Our partnership with Databricks is grounded in a singular belief: that data and AI should not be separate silos requiring separate platforms and teams. As a certified Bronze Databricks Partner, we bring the Lakehouse expertise needed to help enterprises adopt, scale, and extract maximum value from the Databricks Data Intelligence Platform.
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.
Focus Areas
High-precision delivery across the entire data lifecycle.
Build a lakehouse your entire data team can work from
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.
Engineer data pipelines that stay reliable
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.
Operationalise ML and AI not just experiment with it
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
Data and AI on a Single, Unified Foundation
πby3 implements Databricks Lakehouse architecture, Delta Lake, and Unity Catalog, giving your organization one governed data foundation without compromise.
AI Built on Data You Can Trust
AI is only as valuable as the data behind it. πby3 builds the data engineering layer to ensure the data powering your models is accurate, fresh, and production-ready.
A Platform Built to Scale
Our engineers design Databricks environments to grow with data volume, model complexity, and AI use cases, so your foundation never slows you down.
Databricks Services We Offer
Databricks Platform Implementation & Lakehouse Architecture
We design and deploy enterprise Databricks environments workspace configuration, Delta Lake architecture, cluster management, and Unity Catalog governance built for your data scale, team structure, and cloud infrastructure. Every implementation is production-ready from day one.
Data Engineering & Pipeline Development
We build reliable, scalable data pipelines on Databricks batch and streaming ingestion, Delta Live Tables for declarative pipeline management, and structured streaming for real-time data flows. Backed by our π-Ingest accelerator for governed, enterprise-grade data movement.
Data Migration to Databricks
We migrate enterprise data workloads from legacy warehouses, Hadoop environments, and on-prem ETL stacks to Databricks covering full estate assessment, schema migration, pipeline conversion, and post-migration reconciliation via our DataMig accelerator. Clean data in. Validated data out.
Unity Catalog & Data Governance
We implement Databricks Unity Catalog across your lakehouse fine-grained access controls, data lineage, audit logging, and centralised metadata management. Governance that enables your data teams rather than slowing them down.
ML Engineering & MLOps on Databricks
We build end-to-end ML workflows on Databricks using MLflow experiment tracking, model registry, deployment pipelines, and performance monitoring. Models that don't just train well, they run reliably in production over time.
Generative AI & LLM Implementation on Databricks
We implement production GenAI solutions on Databricks RAG pipelines connected to your enterprise data, LLM fine-tuning workflows, and AI applications built within a governed, auditable Lakehouse environment. From use case to production without the governance gap.
Unity Catalog & Data Governance
We implement Unity Catalog across your Databricks environment, fine-grained access control, data lineage, audit trails, and centralized policy enforcement, so your organization can trust its data and prove it to any auditor.
Databricks Managed Services
We manage your Databricks environment on retainer, cluster optimization, pipeline reliability, cost governance, security reviews, and continuous performance tuning, so your platform stays efficient without adding to your team's workload.
Trusted by Industry Leaders
