🛑Initiate a disaster recovery plan to restore lost data quickly. 📊Audit transaction logs to pinpoint data loss sources. 🔍Use forensic tools to recover corrupted or missing data. 📂Leverage backups to restore integrity with minimal downtime. 🚀Implement automated validation checks to prevent future loss. 🔄Conduct post-mortem analysis to strengthen migration strategies. 🔐Ensure encryption and redundancy for long-term data security.

If critical data is lost during cloud migration, I would first assess the extent of the loss and restore the data from backups. Then, I would verify its integrity by cross-checking logs and records. I would collaborate with the cloud team to identify the root cause, fix the issue, and implement safeguards to prevent future occurrences

Immediate Recovery Actions Assess the Impact – Identify the scope of data loss (which data, systems, or services are affected). Check Backup & Snapshots – Restore data from the latest available backup (e.g., AWS Backup, Azure Backup, or on-prem backups). Leverage Disaster Recovery (DR) Plan – If a DR plan exists, execute failover to a secondary site or replica. Engage Cloud Provider Support – Contact the cloud provider for potential data recovery options (e.g., AWS support for accidental S3 deletions). Review Logs & Audit Trails – Check CloudTrail (AWS), Activity Logs (Azure), or GCP Logs to identify the cause and potential rollback options.

Data loss during cloud migration requires swift action. First, assess the scope and cause of the loss. Restore data from backups if available, ensuring they are up to date. If backups are not viable, work with your cloud service provider to explore recovery options. After restoration, validate the data’s integrity through automated checks to ensure no corruption. Finally, review and strengthen your migration processes for future transitions, implementing more frequent backups and thorough testing to prevent similar issues.

Based on my experience while working on a large scale SAP ERP migration to the cloud, we encountered a data corruption issue due to an incomplete schema mapping. Critical financial transactions were at risk, and rollback wasn't an option. At that stage we perform the below steps Point in Time Recovery: We restored data from the latest database snapshot. Cross Verification: We ran integrity checks against the on prem backup to identify discrepancies. Parallel Environment Testing: Before resuming operations, we set up a sandbox environment to validate data consistency before re-syncing with production. This help us to complete the migration smoothly