DynamoDB development company in India
An India-based DynamoDB team from Krapton pairs a data modeler with serverless engineers, works agreed overlap hours with your time zone, and reviews every key design change with your architects before it reaches production tables.
- India-based senior engineers
- IST + US/UK overlap
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
How our India-based DynamoDB team works
Krapton is a DynamoDB development company in India that runs AWS data work as a small, senior-led pod rather than a loose pool of contractors. A typical pod has a lead who owns the table design and access-pattern document, one or two engineers writing Lambda handlers and repository code, and shared QA for load and contract tests. The team works from India Standard Time and keeps a fixed overlap window with you: IST afternoons for UK and EU clients, IST evenings for US East Coast teams, and most of the working day for the UAE. Design decisions that are expensive to reverse, such as partition keys, GSI projections and Global Tables setup, are written up and approved in that window, never decided alone overnight. Pull requests, NoSQL Workbench models and CloudWatch dashboards live in your accounts from the first week, so nothing depends on access you do not control.
DynamoDB development services in India
Dedicated DynamoDB pods
A lead data modeler plus serverless engineers assigned only to your product, working in your Jira or Linear board and attending your standups during the agreed overlap window.
Table design audits
An India-based reviewer examines your existing tables, GSIs and capacity settings, flags Scan-heavy code paths and hot keys, and returns a written remediation plan ranked by risk.
Off-hours backfills and exports
Long-running jobs such as GSI backfills, S3 exports and bulk item repairs run during your night, with progress posted to Slack and a point-in-time recovery timestamp noted first.
Serverless feature delivery
Engineers ship API routes, Lambda functions and DynamoDB repository code behind feature flags, with CDK or Terraform changes in the same pull request so infrastructure never drifts from code.
Migration squads
For a move from MongoDB or MySQL, an India-based squad writes the transform scripts, runs shadow reads comparing both stores, and schedules cutover inside your low-traffic window.
Ongoing AWS data support
After launch, a named engineer watches throttling alarms, reviews monthly DynamoDB spend by table, applies SDK and runtime upgrades, and adds new access patterns through the same review process.
Why an India-based DynamoDB team from Krapton
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Overlap hours written down
The overlap window, the escalation path for production alerts and who covers Indian public holidays such as Diwali are agreed in the statement of work before the first sprint starts.
Vetted on DynamoDB specifics
Engineers are screened on modeling exercises: designing keys for a given set of queries, explaining GSI eventual consistency, and writing a conditional update that prevents lost writes.
Your accounts, your IP
Work happens in your AWS organization and Git repositories under an NDA and IP assignment signed before onboarding, with access granted through IAM Identity Center and revoked at offboarding.
Async-friendly documentation
Every design change ships with an updated access-pattern table and a short decision record, so your engineers can review overnight work without waiting for a call.
How we run DynamoDB projects from India
01
Scoping call and audit
We review your current AWS setup, table designs and backlog, then propose the pod shape and an overlap window matched to your team’s working hours.
02
Contracts and access
NDA, IP assignment and data processing terms are signed first; then least-privilege IAM roles, repository access and a sandbox AWS account are provisioned for the pod.
03
Sprints with demos
Each sprint ends with a live demo in the overlap window, showing new endpoints, CloudWatch metrics for the affected tables and any capacity or cost changes observed.
04
Handover and continuity
Handover covers the table design document, IaC modules, runbooks and a recorded walkthrough; your engineers shadow on-call alerts before the pod steps back.
DynamoDB tools our India team works with
DynamoDB development in India: questions answered
What should I check before choosing a DynamoDB development company in India?
Check whether the team designs from access patterns or starts by creating tables. Ask candidates to model keys for three or four real queries from your product, explain when a GSI read can return stale data, and show how they handle TransactionCanceledException. Also confirm that work happens in your AWS accounts, that IP assignment is in the contract, and that overlap hours are written into the agreement.
How do I hire DynamoDB developers in India through Krapton?
You start with a scoping call where we review your tables, backlog and AWS setup, then agree the pod shape and overlap hours. Hiring DynamoDB developers in India this way gives you engineers already screened on key design and serverless work, so onboarding focuses on your domain rather than basics. Contracts, NDA and IP assignment are signed before anyone receives access to your AWS organization or repositories.
How do overlap hours work for DynamoDB sprints?
Overlap hours are a fixed daily window agreed per client and used for decisions, not status updates. Planning, reviews of key or index changes, and sprint demos happen inside it; coding, load testing and backfills happen outside it, with written updates waiting when your day begins. Production incidents follow a separate on-call agreement rather than the overlap window.
How is code quality reviewed when the DynamoDB team is offshore?
Every pull request is reviewed by the pod lead and by an engineer you nominate, and changes to keys or indexes need your explicit approval. CI runs unit tests against DynamoDB Local, checks IAM policy diffs and flags any new Scan calls. A recurring design review also compares actual CloudWatch read and write usage against the access-pattern estimates made during planning.
What happens at handover when the India team steps back?
You receive everything needed to run the tables without us. That means the access-pattern document, NoSQL Workbench models, CDK or Terraform modules, runbooks for adding indexes and restoring from point-in-time recovery, and recorded walkthroughs of the Streams consumers. Your engineers handle on-call alerts with the pod shadowing them first, and repository and IAM access is removed at the agreed end date.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.