How do engineering teams build for DPDP compliance? Engineering teams meet the DPDP Act 2023 by building privacy into the product, not bolting it on: privacy-by-design checkpoints in the SDLC, data minimisation in APIs and schemas, the ability to honour erasure and access requests across systems, and retention/logging configured to delete data when no longer needed. This pack gives CTOs and engineering leads the SOPs, checklists and patterns to make privacy a default in how software is built.
Privacy-by-design for your SDLC: erasure/DSAR engineering SOPs, data minimisation patterns, and retention/logging config — built for engineering teams.
1.1 Lightweight privacy checkpoints at design, build and release: a one-page privacy review per feature, data-flow questions, and a 'do we really need this data?' gate.
1.2 Designed to fit into existing sprint and PR workflows without slowing teams down.
2.1 How to make erasure real across services, caches, search indexes, analytics and backups — the hard parts most teams miss when honouring deletion requests.
2.2 Includes patterns for soft-delete vs hard-delete and handling data already in derived datasets.
Based on your selections, the full pack prioritises:
Many DPDP obligations can only be met in code: honouring erasure and access requests, deleting data when retention expires, minimising what you collect, and not leaking personal data into logs and analytics. These are not policy documents — they are system behaviours the CTO owns.
Teams that bake privacy into the SDLC avoid painful retrofits later. This pack gives engineering leads the checkpoints, SOPs and patterns to make privacy a default, so the product is compliant by construction.
One real DPDP development explained in plain English, one practical how-to, one number from our own assessment data. Nothing else — no daily noise, no sales pitch.
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