Case Studies
Overview
Context
Challenge
Testimonial
Contribution
Impact
Why It Matters?
Overflow
Global Biotech / R&D

Unified Data Virtualisation Platform Engineering

Overview
Context
Challenge
Testimonial
Contribution
Impact
Why It Matters?
Overflow
Overview & Metadata

Unified Data Virtualisation Platform Engineering for a Global Biotech & R&D Organisation

Enabled enterprise-wide data virtualisation by enhancing and automating a Kubernetes-based Starburst platform used across global R&D, accelerating data access and reducing operational overhead.
Client Context
Client Context

A global biotech and R&D organisation is standardising its data ecosystem onto a unified virtualisation layer,enabling teams to query data across Snowflake, Redshift, SQL Server and other sources through a single Starburst interface.

Hybrid Mind Supported →

Hybrid Mind delivered a specialist engineering capability to enhance, extend, and automate the platform. Working across cloud infrastructure, metadata and catalogue systems, access control frameworks, and Starburst’s enterprise tooling, our specialism strengthened the reliability, scalability, and operational maturity of the organisation’s data virtualisation layer.

Challenge

Key Challenges We Faced

The engagement involved several technical challenges:

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1. Complex Multi-System Integration

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  • Integration across Kubernetes, Starburst/Trino, Hive, Glue, S3, Collibra, Immuta, and multiple data sources.

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2. Unreliable Manual Workflows

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  • Upgrades and restarts previously required manual, error‑prone sequences.

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3. Hard-to-Diagnose Failures

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  • Hard-to-Diagnose Failures  
  • Oracle type incompatibilities blocking visibility of key columns.

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4. Rapidly Growing Load

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  • Hundreds of new users and data products were onboarded, increasing operational pressures.
Our Contribution

Hybrid Mind Delivered

1. Platform Automation & Workflow Engineering

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  • Created fully automated upgrade pipelines using GitHub workflows.
  • Automated blue‑green cluster deployment for Starburst.
  • Build restart and config‑apply workflows for Dev, SAT, and Pre‑Prod. 

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2. Platform Engineering & Troubleshooting

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  • Platform Engineering & Troubleshooting.
  • Diagnosed and mitigated Ranger/AD outages.
  • Added and integrated new data catalogues with Collibra and Immuta.

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3. Kubernetes & Deployment Expertise

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  • Updated Helm charts and Kubernetes configurations.
  • Debugged/distributed system issues via logs and cluster diagnostics.

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4. Multi‑Team Coordination

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  • Acteda's technical bridge between cloud networking, metadata, RBAC, Starburst vendor support, and downstream teams.

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Impact

Hybrid Mind works with enterprises to unlock real value from AI, from readiness to measurable impact

We combine strategic insight with hands-on technical execution to help enterprises turn AI potential into measurable, lasting business impact
  • Significant operational efficiency through automated upgrades and restarts.

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  • Faster onboarding of new users, teams, and data sources.

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  • Increase reliability of permissions, catalogue integrations, and cross‑platformconnectivity.

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  • Enabled scientists and analysts to join multi‑source datasets in a single query and build reusable internal data products.
Why It Matters?

Why It Matters?

This work supports the client’s vision for a unified, self‑service R&D data ecosystem.

It demonstrates Hybrid Mind’s strengths in:

  • Deep platform engineering on Kubernetes and Starburst
  • Automating complex distributed workflows
  • Strengthening operational reliability in multi‑team environments  
  • Embedding highly effective engineers into critical infrastructure programmes
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