Services

End-to-end data & cloud consulting.

Cybernate IT plugs into your roadmap where you need senior data engineering and cloud expertise the most — from greenfield platforms to migrations and capability building.

1. Data Engineering & Analytics Foundations

Ideal when you’re consolidating data and want clean, reusable patterns.

We design and implement robust data engineering foundations that can scale with your business. The focus is on maintainable, well-documented pipelines and clear data contracts.

What we help with

  • Designing ETL / ELT pipelines for batch and near real-time data
  • Data modeling for analytics (star/snowflake schemas, data vault, etc.)
  • Curated data marts and semantic layers for BI and reporting
  • Implementing DataOps practices – version control, CI/CD, testing

Example outcomes

  • Consistent, trusted data for dashboards and decision-making
  • Reduced manual data wrangling by analysts and business teams
  • Clear lineage from sources to reports, simplifying impact analysis
  • Faster onboarding for new engineers thanks to standardized patterns

2. Cloud Data Platforms & Architecture

For teams moving to Snowflake, BigQuery, Databricks or Microsoft Fabric.

We architect and implement cloud-native data platforms using technologies like Snowflake, BigQuery, Databricks and Microsoft Fabric, running on AWS, Azure or GCP.

What we help with

  • Platform architecture and reference patterns
  • Workload design across storage, compute and orchestration
  • Security, governance, RBAC and environment strategies
  • Cost optimization and capacity planning

Technologies we work with

  • Cloud: AWS, Azure, GCP
  • Warehouses/Lakehouses: Snowflake, BigQuery, Databricks, Microsoft Fabric
  • Orchestration & tooling: Airflow, dbt, Terraform and more

We focus on practical designs that your teams can own and operate, not one-off “black box” solutions.

3. Data Migration & Modernization

When legacy ETL, reports or HR/ERP systems are holding you back.

Many organizations are stuck with legacy BI, ETL and data warehouse systems that are hard to maintain. We help them migrate to modern cloud-native platforms in a structured, low-risk way.

What we help with

  • Assessment of current data landscape and pain points
  • Migration roadmap and phased execution strategy
  • Replatforming ETL jobs to modern tools and frameworks
  • Validating data quality and functional parity

Typical scenarios

  • Legacy → Cloud (on-prem DW to Snowflake/BigQuery/Databricks)
  • On-prem → SaaS products (e.g., HRMS, ERP, time tracking)
  • Consolidation of multiple data silos into a unified platform
  • Performance and reliability improvements for key reports

4. Training & Enablement

Blended engagements where we build and teach side by side.

Sustainable platforms require capable teams. We run focused training programs tailored to your technology stack and current maturity.

What we offer

  • Corporate training for engineering and analytics teams
  • Certification-oriented programs (cloud, data engineering tools)
  • Hands-on labs and mini-projects based on your use cases
  • Playbooks and best-practice guides for your teams

Example outcomes

  • Teams confident in using the chosen cloud and data tools
  • Shared language and standards across engineering groups
  • Faster delivery through reusable patterns and templates
  • Higher adoption of the data platform across the organization
Discuss a training plan →

Not sure which service you need?

Tell us where you are in your data platform journey and we’ll suggest a sensible starting point.

Talk to an architect