M
Modernize
Move from legacy systems to modern Lakehouse architecture.
01 — Mission
Built for modern enterprises
Databricks Done right
A data engineering partner
Modernize.
Integrate.
Scale.
DataMiro helps organizations design, modernize and optimize enterprise data platforms using Databricks, Apache Spark and cloud-native technologies. We build secure, scalable ecosystems that accelerate business growth and create an AI-ready foundation.
01
Architecture-first delivery
02
Cloud-native engineering
03
AI-ready foundations
02 — The DataMiro method
MIRO.
A simple operating model for turning complex data environments into reliable business platforms. Every engagement moves through four disciplines: modernize the foundation, integrate the ecosystem, run it reliably, then optimize continuously.
I
Integrate
Connect data sources, pipelines, APIs, business systems, and cloud services.
R
Run
Operate reliable, governed, secure, production-grade data platforms.
O
Optimize
Continuously improve performance, cost, quality, and platform maturity.
03 — What we do
Data, forged
for scale.
From first architecture decisions to continuous optimization, we stay close to the platform and the outcomes it needs to produce.
Databricks Architecture & Implementation
Design a secure, scalable Databricks foundation around your workloads.
Databricks Migration & Modernization
Move from legacy data platforms with a clear plan and controlled transition.
Performance & Cost Optimization
Find and fix the causes of slow jobs, inefficient compute and rising spend.
Unity Catalog, Security & Governance
Build clear access controls, lineage and governance into your platform.
Data Engineering on Databricks
Build reliable batch and streaming pipelines ready for production.
Technical Advisory Sessions
Get focused guidance from a senior Databricks specialist.
04 — Delivery approach
From raw
to ready.
A focused delivery model that moves from business context to production engineering without losing architectural discipline.
01
Discover
Understand business goals, current platform, workloads, constraints and the first outcomes worth proving.
02
Design
Create scalable architecture, migration strategy, governance model and a clear path to production.
03
Build
Develop production-ready pipelines, infrastructure, testing and operational foundations.
04
Optimize
Continuously improve performance, reliability, governance and cloud cost as adoption grows.
05
Support
Provide proactive monitoring, engineering support and long-term platform improvements.
05 — Industries