Cloud Migration and Support

Migrations fail in the places nobody planned for — the query that ran fine on-prem and falls over in the cloud, the batch window that quietly doubles. I migrate Oracle and database workloads to AWS and Azure and then prove they perform, because a migration that lands but runs slow isn’t done.

What that looks like:

  • Assessment of the existing system and a phased migration plan
  • Oracle and database moves to AWS (including RDS and Aurora) and Azure
  • Post-migration performance validation and stabilization — the step most projects skip
  • Archiving, retention, and reorganization to reclaim space at scale

Recent result: re-architected a serial migration pipeline into parallel streaming and cut processing windows from 12 hours to 3 hours (75%) across 5 production datasets.

Independent · Remote (EST) · Corp-to-Corp · Currently accepting new engagements.

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