Compliance & enterprise data / Ajay at SAP Labs · previous employment
Engineering data retention for GDPR requirements.
At SAP Labs, Ajay built a service for sensitive employee records and a GDPR-related retention tool with controlled deletion paths.
Earlier experienceThe requirement
Manage sensitive records and GDPR-related retention work.
The build
A unified data service with automated and manual purge paths.
Delivery
Integration across three teams.
The setting
The problem behind the work.
Employee compensation and job history are sensitive records. At SAP Labs, product teams needed consistent access to that data and a way to carry out GDPR-related retention and deletion work.
The compliance requirement had to become dependable software behavior. Multiple product surfaces needed the same read and write rules, while data removal needed both routine automation and a controlled manual path.
How it works
The workflow at a glance.
Simplified view of the workflow.
Contribution
What Ajay built.
Ajay's role
Ajay designed the unified service layer and developed the GDPR-related retention tool at SAP Labs. He coordinated integration across three teams and later adapted the design for customer requirements.
Approach
The shared service gave product teams one path to sensitive records. The retention tool provided automated and manual purge workflows, turning data lifecycle requirements into operations the system could carry out consistently.
Design choices
What the work required.
Make retention operable
A compliance requirement needs a defined path in the product for carrying out data lifecycle actions.
Keep data access consistent
A shared service gives product surfaces one route to sensitive employee records.
Support two purge paths
Automation handles routine retention work; a manual path supports cases that need intervention.
Result
What changed.
Ajay delivered the shared data service and GDPR-related retention tool at SAP Labs, giving product teams defined automated and manual paths for sensitive-data deletion.
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