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Capgemini 1

Built at Global Codex Hackathon: [London] · Apr 15, 2026 · London, UK

Demo video · Large-scale data migration projects are still slow, expert-heavy, and difficult to govern because teams must manually reverse-engineer schemas, reason through ambiguous mappings, document decisions, and translate that work into executable migration artifacts. This project brings the power of agent-driven data migration to that process: it accelerates schema understanding, semantic interpretation, mapping design, and SQL generation, while keeping human approval, auditability, and delivery control in place. The result is faster migration analysis, quicker iteration cycles, and more trustworthy handoff artifacts for delivery teams./…

Agentic Data Migration Engine is a Codex-powered demo that turns a legacy user-domain schema into an inspectable migration specification and deterministic SQL. It orchestrates four agentic phases: schema inference from DuckDB fixtures, semantic enrichment grounded in profiling and target-model documentation, mapping generation with explicit transformation intent and approval state, and SQL compilation. Key features include a Kuzu graph-based digital twin, per-phase Markdown reports, JSONL audit logging, a machine-readable approval artifact, and compiled SQL models for dim_user, dim_role, bridge_user_role, and dim_address.

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