IT Services & Digital Engineering

Cloud, Data Engineering & Application Services

A detailed look into how Keptel enabled rapid cloud and data engineering scaling for a global enterprise modernizing on AWS, Azure, and Google Cloud.

Problem Statement

The client needed to rapidly expand its cloud and data engineering capabilities to support multiple enterprise transformation initiatives. Key challenges included limited access to experts in ETL, orchestration, data pipelines, and modern cloud-native engineering.

Keptel's Approach & Solution

Keptel sourced and onboarded cloud-native data engineering talent across India. A competency-driven evaluation framework ensured selection of engineers with multi-cloud expertise across AWS, Azure, and GCP. Teams were deployed in phases, ensuring operational stability, accelerated delivery, and consistent engineering governance.

Business Outcomes

The engagement enabled rapid scaling of cloud programs, reduced onboarding cycles, improved engineering throughput, and accelerated the client's digital transformation roadmap across data, analytics, and application modernization.

Key Engineering Contributions

• Cloud-native ETL & data pipeline development
• Multi-cloud orchestration & workflow engineering
• Real-time data streaming & analytics
• Modern application development
• CI/CD and DevOps automation

Ideal For

• Enterprises scaling cloud engineering teams fast
• Organizations modernizing legacy workloads
• Companies running multi-cloud transformation programs