DynamoDB Schema Reviews

Async delivery in 3–7 business days. No calls required.

DynamoDB schema mistakes are expensive. A wrong key structure means a migration across millions of items. A missing GSI means a table scan in production. A hot partition means throttling at the worst possible time.

A second pair of eyes before you commit to production saves weeks of migration work later.

How it works

You fill out the intake form. Your entities, access patterns, current tech stack, and any constraints.
I design or review your schema. PK/SK structure, GSI strategy, ElectroDB entity definitions, and a written analysis explaining every design decision.
You get the deliverable within 5 business days. Everything you need to implement the schema with confidence.

No calls required. Fully async. You get a document you can hand to your team and build from.

Three tiers

Starter

$149

For early-stage schemas with a small number of entities.

Scope: Up to 5 access patterns, 1–2 entity types.

✓ Written schema review (PK/SK structure, GSI recommendations)
✓ Annotated schema diagram
✓ Trade-off analysis: what the schema supports and what it doesn't
✓ One round of async follow-up questions

Turnaround: 3–5 business days.

Best for: Side projects, proof-of-concepts, or a sanity check on a simple schema before you ship.

Standard

$299

For production schemas with multiple entity types and cross-entity queries.

Scope: Up to 15 access patterns, up to 5 entity types.

✓ Everything in Starter
✓ Complete ElectroDB entity definitions (TypeScript, copy-paste ready)
✓ GSI overloading strategy with written rationale
✓ Sample data table showing actual DynamoDB items
✓ Cost analysis: estimated RCUs/WCUs per access pattern

Turnaround: 5 business days.

Best for: SaaS apps, e-commerce backends, API platforms — anything going to production with real users.

Premium

$499

For complex multi-entity schemas, cross-service DynamoDB designs, or migration planning.

Scope: No limit on access patterns or entity types.

✓ Everything in Standard
✓ 15-minute Loom walkthrough of the schema design
✓ Migration plan if you're restructuring an existing table
✓ One full round of async revisions after your team reviews
✓ DynamoDB Streams architecture recommendations if applicable

Turnaround: 7 business days.

Best for: Teams redesigning an existing schema, multi-service architectures, or anyone who wants the full picture before a major DynamoDB commitment.

What I need from you

The intake form asks for:

Project description — what does the app do, who uses it
Entity list — each entity with its key attributes (e.g., User: userId, email, name, role)
Access patterns — numbered list of every query your app needs (e.g., "Get all orders for a customer, newest first")
Current tech stack — CDK, SST, Terraform, SAM, or other
Preferred ORM — ElectroDB, DynamoDB-Toolbox, Dynamoose, or raw SDK
Constraints — anything unusual (regulatory requirements, extreme scale, existing table structure)

The more specific your access patterns, the better the schema. "Get user data" is vague. "Get user by email for authentication, returning userId, name, and role" is actionable.

Why me

I've built production DynamoDB apps with single-table design for rasika.life (a cultural events platform with 6+ GSIs per entity), property management tools, and e-commerce backends. I maintain the singletable.dev pattern library — 10+ schema patterns with full ElectroDB implementations.

I'm not a DynamoDB evangelist. I wrote "When NOT to Use Single-Table Design" because honest tradeoff analysis matters more than advocacy. If your use case is better served by Postgres, I'll tell you that.

Sample deliverable

Here's what a Standard-tier review looks like, using the SaaS Multi-Tenant pattern as an example:

SaaS Multi-Tenant schema card — PK/SK layout with GSI overloading — Schema card from the SaaS Multi-Tenant review — PK/SK layout, 1 overloaded GSI, 4 entity types. Read the full pattern →

The deliverable includes 10 access patterns mapped to PK/SK and GSI queries, complete ElectroDB entity definitions for all 4 entities, cost analysis per access pattern, and a trade-off analysis covering hot partition risks and the createdAt sort key problem. The blog post is the public version — the review goes deeper into your specific entities, access patterns, and constraints.

First 3 reviews: 30% off

I'm offering the first 3 reviews at 30% off to build the portfolio. Use code EARLY30 at checkout.

Tier	Regular	Early bird
Starter	$149	$104
Standard	$299	$209
Premium	$499	$349

Fill out the intake form → Questions? Email me

Not sure which tier? Start with the intake form. I'll recommend the right tier based on your schema complexity.