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   CLOUD DATA PLATFORM ENGINEERING

Modern dataplatforms built to move your business forward.

Cybernate designs, modernizes, and operates reliable cloud data platforms—helping your teams move faster, scale confidently, and make better decisions.

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We build on the platforms your enterprise already runs on.

Cloud and data platforms we work in daily

Snowflake Microsoft Fabric Databricks AWS Google Cloud Microsoft Azure Microsoft Fabric

01. WHERE IT BREAKS

We start
with what is
actually broken.

Most organisations do not have an analytics problem or an AI problem. They have a foundation problem — and it surfaces in four predictable ways.

02. WHAT WE DO

Three ways we
get you to a
foundation you
can build on.

Whether you are starting from nothing, dragging a decade of legacy behind you, or already have a platform nobody can safely touch — the work is the same shape. Only the starting point changes.

Start Fresh.
Build It Right.

Design and launch a cloud data platform with the parts most projects skip: a real architecture, environment separation, access control, automated testing, CI/CD and monitoring — in from day one, not retrofitted after the first outage.

  • Architecture and platform design
  • Ingestion, modelling and the semantic layer
  • Governance, access control and lineage
  • CI/CD, testing and observability

Move Beyond What’s
Holding You Back.

Move fragile pipelines, ageing warehouses and undocumented reporting onto a modern cloud platform — without losing the business logic buried inside them. Migration is the easy half; preserving fifteen years of accumulated rules is the hard half, and it is the half we plan around.

  • Migration assessment and sequencing
  • Legacy ETL and warehouse migration
  • Business-logic discovery and preservation
  • Parallel running and cutover

Make yourself
unnecessary

We work alongside your engineers rather than around them, document the decisions as well as the code, and hand over a platform your team can operate and extend without calling us. That is the point.

  • Pair programming and code review
  • Architecture walkthroughs and runbooks
  • Platform documentation your team will read
  • Structured handover and follow-up support
Explore Our Capabilities

Technology

We choose
proven technology for a
reason: it works.

Technology choices get made against your existing environment, your team's actual skills, and what you will still be able to run in three years — not against whatever launched last quarter. Sometimes the right answer is the tool you already own.

AWS AWS
Microsoft Azure Microsoft Azure
Google Cloud Google Cloud
Snowflake Snowflake
Databricks Databricks
BigQuery BigQuery
Microsoft Fabric Microsoft Fabric
Python Python
PySpark PySpark
dbt dbt
Apache Airflow Apache Airflow
Terraform Terraform
Docker Docker
GitHub Actions GitHub Actions
Power BI Power BI
Tableau Tableau
Looker Looker
Data Warehousing Data Warehousing
Lakehouse Lakehouse
ELT Pipelines ELT Pipelines
Data Modeling Data Modeling

WHY CYBERNATE

Engineering that performs beyond the architecture diagram.

Discover How We Work
Production-ready data platform

BUILT FOR PRODUCTION

Reliability from day one

Testing, monitoring, security, recovery, and maintainability are built into the platform from the beginning—not added after problems appear.

  • Automated testing and validation
  • Monitoring and failure detection
  • Secure, maintainable architecture
Explore Our Approach
Technology selected around business requirements

DESIGNED AROUND YOU

Technology that fits your needs

We select tools and architectures around your requirements, existing environment, and long-term goals—not vendor preferences or temporary trends.

  • Vendor-neutral recommendations
  • Practical technology choices
  • Designed for long-term scalability
Explore Our Expertise
Collaborative engagement models

OWNERSHIP THAT LASTS

Knowledge that stays with your team

We work alongside your people, document important decisions, and transfer practical knowledge so your team can confidently operate and extend the platform.

  • Clear, usable documentation
  • Collaborative delivery
  • Practical knowledge transfer
Explore Engagement Models

How we work

A clear path from complex challenge to lasting value.

Our collaborative delivery model keeps priorities clear, reduces risk, and delivers useful results throughout the engagement.

01

Discover & Align

Typical duration 1–2 weeks

We understand your business goals, existing systems, constraints, and priorities before recommending a solution.

Client outcome A written assessment and agreed success measures.

  • Business and technical assessment
  • Stakeholder alignment
  • Clear success measures
  • Existing architecture review
Industries

Data platforms
built around
the way your
industry works.

Different industries bring different challenges, regulations and ways of working. We design data platforms around those realities — giving your teams the right foundations to operate efficiently, scale confidently and get more value from their data.

WHAT YOU CAN HOLD US TO

We would rather
be measured
than admired.

Technology choices get made against your existing environment, your team's actual skills, and what you will still be able to run in three years — not against whatever launched last quarter. Sometimes the right answer is the tool you already own.