Protect account updates from partial changes.
Keep related data changes consistent.
Where this work fits
Compliance and operations teams needed to review customer information and update accounts. Manual steps slowed that work, and related records needed to agree after an update.
I implemented transactional SQL and input validation across account workflows. Related writes could be handled as one operation, reducing the risk that a failed step would leave only part of an account update saved.
Keep related changes together
Verification record
Original stateAccount update
Original stateRelated account updates succeed together or roll back together. A failure cannot leave the account with only half the changes saved.
Related changes had to succeed together.
Rejecting an invalid request early prevented bad input from reaching storage. A transaction addressed a different failure: one valid operation saving only some of its changes. I used both so faster account operations would not leave inconsistent records.
The skills behind the work
- PostgreSQL
- Store relational records and protect related updates with database transactions.
- Transactions
- Save related changes together, or roll them back together when a step fails.
- Validation
- Reject invalid or unsupported input before it affects the rest of the application.
Review cycles became shorter and account data more consistent. The backend supported the operations team’s verification workload with fewer manual steps.
- Data consistency
- 99.9%Across KYC workflows using transactional SQL and input validation.