Representative work from Cybernate engagements.

Client context

A large organization was running multiple legacy HR systems and time-tracking tools. Reporting was slow, fragmented and relied on manual data pulls.

What we did

• Assessed existing HR data sources, models and reports
• Defined a target cloud-based HR analytics platform
• Designed and implemented pipelines to ingest HR and time-tracking data
• Implemented curated views and data marts for HR analytics and compliance

Outcomes

• Single, trusted source of HR data for analytics and dashboards
• Significant reduction in time spent preparing compliance and management reports
• Improved visibility into workforce metrics and trends
• Foundation laid for future self-service analytics capabilities

Client context

The client had an on-premise data warehouse that struggled with performance and scaling. New analytics use cases were hard to deliver due to capacity and complexity limitations.

What we did

• Defined a target architecture on a modern cloud data platform
• Migrated critical workloads to the new platform in phases
• Introduced DataOps practices with CI/CD and automated testing
• Collaborated with teams to redesign key data models and pipelines

Outcomes

• Improved query performance and scalability for analytics workloads
• Lower operational overhead and simplified maintenance
• Faster delivery of new features and reports
• Clearer ownership and governance of data assets

Client context

An organization wanted to strengthen their internal capabilities in cloud data engineering, especially around best practices, tooling and real-world workflows.

What we did

• Designed a custom training curriculum aligned to the client’s stack
• Delivered practical sessions with hands-on labs and mini-projects
• Shared design patterns, templates and checklists for daily work
• Provided guidance for relevant certifications and skill paths

Outcomes

• Teams more confident in designing and implementing data pipelines
• Greater alignment on standards and patterns across projects
• Faster ramp-up for new hires and cross-functional collaboration
• Improved quality and reliability of data solutions delivered

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