Datachecks Enterprise[01]
[Migration work, executed by specialized AI agents: Datachecks saves months on enterprise data migration without compromising data integrity. Six agents carry a migration from assessment and discovery through mapping and SQL translation to validation and reconciliation, while experts keep the decisions, exceptions and sign-off. Migration Evidence records what changed, what was approved and what is ready for cutover. It moves estates from Oracle, SQL Server, DB2, Teradata, Redshift and SAP onto Snowflake, Databricks, BigQuery and Microsoft Fabric. Datachecks began as a data quality and observability platform before it focused on migration.]
Stack
Next.js
React
TailwindCSS
Docker
TypeScript
FastAPI
PostgreSQLFeatures
Understand
The Assessment and Discovery agents inventory the estate, profile the data, map dependencies and flag complexity, risk and sensitive fields before anything is rebuilt.
Map
The Mapping agent generates source-to-target mappings, recommends transformations and scores its confidence, routing uncertain mappings to expert review.
Translate
The Translation agent converts SQL and stored procedures, adapts platform-specific syntax and flags patterns the target can't support.
Validate
The Validation and Reconciliation agents generate tests, compare source and target, reconcile at row and aggregate level, and produce the evidence for sign-off.
Migration Evidence
Every object keeps its complete migration story: dependencies, approved mappings, translation versions, resolved exceptions, test results and reconciliation, in one view.
Migration Memory
Every approved decision becomes context for the next one, so mappings, transformation patterns, test packs and exception decisions carry forward across stages and migrations.
Security & deployment
Private deployment inside the customer's environment, bring-your-own model, SAML SSO, SOC 2, ISO 27001 and VAPT. AI proposes; the customer's team stays in control.
My roleSDE I
- Build and maintain the Next.js and TypeScript frontend of Datachecks Enterprise, and the component and design-system conventions the product builds on.
- Design and build the AI agent systems behind the platform: multi-agent orchestration, persistent memory (Mem0) and RAG retrieval.
- Lead a four-person frontend team on Next.js.
- Support enterprise and on-premise deployments, including the UAE Central Bank migration.
- Work directly with the founders to turn product strategy into platform capabilities.