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Yape – BCP Cloud Data Migration

A large-scale migration that reshaped how 500+ users across Yape accessed and managed sensitive data. I led the transition from legacy on-prem infrastructure to Azure—driving adoption, security, and trust across squads.

Oracle (on-prem)
Azure Data Factory
Synapse
Data Product Management

🎯 The Vision

To modernize Yape’s data operations and reduce reliance on legacy infrastructure, I led the strategic migration from BCP’s on-premise Oracle environment to Microsoft Azure. This project wasn't just technical—it transformed how 500+ users accessed, secured, and understood data.

🚧 The Challenge

Yape had grown fast, with squads building internal tools and logic around unrestricted access to raw data. The migration meant:

  • Transitioning to encrypted and governed usage
  • Redesigning pipelines
  • Managing change across squads who weren’t eager to shift

We had to break habits and rebuild trust—while ensuring nothing broke along the way.

👨‍💼 My Role

As Data Product Manager, I owned:

  • The migration strategy and roadmap
  • Squad leadership: engineers, business specialists, and analytics translators
  • Communication with BCP’s governance, cybersecurity, and architecture teams
  • Onboarding and adoption across impacted squads

🛠️ What We Built

Technical Delivery

  • • Built Azure Data Factory pipelines across dev, QA, and prod
  • • Process-to-user-to-table mapping
  • • Automated validation and testing

Governance & Adoption

  • • Created governance-ready documentation for BCP review
  • • Aligned data access with compliance protocols
  • • Structured onboarding for squads

📚 The Stack

Data Migration Stack/
├── Oracle (on-prem)
├── Azure Data Lake
├── Synapse Analytics
├── Azure Data Factory
└── Deployment flow: dev → QA → prod

✅ The Outcome

  • All datasets migrated with full business continuity
  • 500+ users onboarded to the new model
  • No critical incidents post-migration
  • Playbook reused across other BCP squads

💡 What I Learned

This wasn’t just a data migration—it was an adoption journey. I had to lead with empathy while driving standards.

I wore many hats: PM, data translator, analyst, negotiator, and coach.

The biggest shift? Helping people see that secure data can still be fast and usable—when the foundation is done right.