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Cloud Data Engineers
Cloud certs are easy to get. Production experience isn't. We screen cloud data engineers for real platform work, migration scars, and the FinOps discipline to keep your bill predictable as you scale.
What We Deliver
Core Capabilities
We place AWS, Azure, and GCP specialists who've built real production data platforms, run real migrations, and know how to keep cloud costs from spiraling. Not certification collectors -- engineers with hands-on experience.
Multi-Cloud Architecture
Engineers who know AWS, Azure, and GCP well enough to pick the right one for the job -- or work across all three when the client requires it.
Infrastructure as Code
Terraform, Pulumi, CloudFormation. Your infrastructure is version-controlled, reproducible, and not held together by manual console clicks.
Cost Optimization
Actual FinOps practice: reserved instances, right-sizing, and architecture choices that keep cloud spend under control as data grows.
Serverless Data
Event-driven architectures with Lambda, Cloud Functions, and managed services -- deployed where they genuinely make sense, not as a default.
Technology Stack
Tools & Technologies
Success Stories
Real-World Use Cases
Cloud Migration
A placed engineer led a full data platform migration from on-prem to AWS for a mid-market client, completing it without downtime or data loss.
Multi-Cloud Strategy
Our placed engineer designed a data platform spanning AWS and GCP for a client that needed vendor redundancy without doubling their infrastructure costs.
Startup Scale-Up
A cloud engineer we placed built a startup's entire data platform from scratch, scaling it from zero to 10TB/day with cost controls built in from day one.
Ready to Build Your Cloud Data Engineers Team?
Get matched with pre-vetted cloud data engineers professionals in as little as 48 hours.
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