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Governed Agentic Analytics Platform

A connector-based data-integration platform that ingests Australian open-government and market data, models it in a serverless warehouse, and exposes it through a governed, evaluated GenAI analytics layer — natural-language questions answered with validated SQL, grounded answers, and a measured quality harness.

Solo portfolio project demonstrating production data engineering + applied AI/ML engineering + software engineering.

Why this exists

Most "chat with your data" demos cannot prove they are correct. This project pairs a real ELT backbone with a first-class evaluation harness that measures answer accuracy, grounding/faithfulness, latency, and cost per query — the difference between a demo and a system you can trust.

Architecture

Public APIs (AEMO energy, air quality)  ─┐
Batch files (CSV / Excel / XML, GCS+S3) ─┼─► Connectors ─► GCS raw (bronze) ─► BigQuery raw
                                          │
                          dbt: staging (silver) ─► marts + metrics (gold)
                                          │
                          Semantic layer (YAML)  ◄──┘
                                          │
  Next.js app ◄──► FastAPI Agent: NL ─► schema-constrained SQL ─► validate
  (chat + dashboard)                  ─► BigQuery dry-run cost guard ─► execute
                                      ─► grounded answer + citations   (traced in Langfuse)
                                          ▲
              Eval harness (gold Qs → metrics) ── runs in CI as a quality gate

Stack

Layer Tech
Warehouse BigQuery (serverless)
Lake / landing Google Cloud Storage
Ingestion Python connector framework (API + file)
Orchestration Dagster
Transformation dbt-core
Semantic layer YAML (descriptions, metrics, joins)
Agent / API FastAPI on Cloud Run
LLM OpenAI
LLM observability Langfuse
Evaluation Custom harness (CI gate)
Frontend Next.js + Tailwind + shadcn/ui (Vercel)
IaC / CI Terraform · GitHub Actions

Repository layout

infra/         Terraform (GCS, BigQuery, IAM, Artifact Registry)
ingestion/     connector framework + source connectors
orchestration/ Dagster assets + schedules
transform/     dbt project (raw -> staging -> marts)
semantic/      YAML semantic models
agent/         FastAPI agent (NL->SQL, guardrails, enrichment)
eval/          evaluation harness + gold sets
web/           Next.js app (chat + dashboard)
docs/          architecture, diagrams, ADRs

Status

  • Phase 0 — Foundations (Terraform infra, repo, CI)
  • Phase 1 — Ingestion + orchestration
  • Phase 2 — Modelling + genericity (2 domains + file ingestion)
  • Phase 3 — Agentic core (NL->SQL, guardrails, grounding)
  • Phase 4 — Evaluation harness (CI gate)
  • Phase 5 — Web app (Next.js on Vercel)
  • Phase 6 — Polish, docs, case study

Local development

uv sync                 # base + dev dependencies
uv run pytest           # tests
uv run ruff check .     # lint
terraform -chdir=infra init && terraform -chdir=infra plan

License

MIT — see LICENSE.

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Governed Agentic Analytics Platform: connector-based ELT into BigQuery with a governed, evaluated GenAI analytics layer (NL->validated SQL, grounded answers, eval harness).

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