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Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLO

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matheus-amon/README.md

Matheus Amon

Data & AI Engineer — I design data platforms and build AI agent systems that turn raw pipelines into decisions people can act on.

LinkedIn Email Location

What I work on

Two intersecting disciplines, one habit of mind: make the data trustworthy, then make it useful.
Data Engineering Batch and streaming pipelines, dimensional modelling, orchestration, and the testing/observability layer that keeps them honest. Airflow, dbt, Spark, Terraform, Docker.
Analytics & BI Semantic layers and reports that answer business questions instead of restating the database. Power BI, DAX, dbt Semantic Layer, Metabase.
AI Engineering Agent systems built on deterministic graphs rather than free-form autonomy — LangGraph, FastAPI, LLM providers behind explicit interfaces.

Featured work

Project What it is Stack
amon-claw Personal multi-agent runtime. Deterministic LangGraph workflows, HTTP/webhook surface via FastAPI, hand-written code with LLMs used only for design discussion. Ships as a Lambda-compatible container. Python · LangGraph · FastAPI · Docker · uv · MkDocs
↳ Live documentation Architecture, design decisions and reference material
podcast SaaS proof-of-concept for podcast operations — agenda, leads, budget and billing. Spec-driven monorepo. TypeScript · Bun · ElysiaJS · Drizzle · Next.js
casino-dbt-analytics End-to-end analytics engineering project: dbt models with tests and documentation, feeding a versioned Power BI report. dbt · SQL · Power BI · Postgres
api-ingest-airflow Ingestion pipeline under Airflow, built around software-engineering boundaries: an API client, a DTO contract that validates at construction, a service orchestrator, and a repository behind an interface. Ships with tests and a container image. Airflow · Python · uv · pytest · Docker
fastapi-clean-example Upstream project I study and fork to keep a reference implementation of Clean Architecture, CQRS and DDD in Python close at hand. FastAPI · CQRS · DDD · RBAC

Stack

Data — Python · SQL · DAX · Pandas · Polars · DuckDB · Spark Transformation & modelling — dbt · dbt-core · SQLAlchemy · dimensional modelling Orchestration — Apache Airflow · Kestra BI — Power BI · Metabase · Excel AI — LangGraph · LangChain · Agno · Pydantic Backend — FastAPI · ElysiaJS · Go Frontend — Next.js · React · Tailwind · shadcn/ui Infrastructure — AWS · Docker · Terraform · Databricks · Azure

Currently

  • Building out the agent runtime in amon-claw and pushing it toward AWS Lambda.
  • Consolidating the data warehouse stack into something reproducible end to end.
  • Levelling up in data engineering and staying deliberate about AI tooling — I prefer explicit control flow to prompt improvisation.

Contact

Open to conversations about data engineering, analytics engineering, or AI systems. The fastest route is email; I read LinkedIn too.

Built and maintained with care. Content is my own work; see each repo for its licence.

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  1. casino-dbt-analytics casino-dbt-analytics Public

    End-to-end analytics engineering project: dbt models transforming and testing casino-themed data, with a versioned Power BI report wired to the models. Covers extraction-to-visualisation in one place.

  2. churn_machine_learning churn_machine_learning Public archive

    Machine learning exercises from Teo Me Why's 2025 courses: churn prediction, feature engineering, model evaluation and deployment notebooks.

    Python

  3. fastapi_project fastapi_project Public archive

    FastAPI project with Alembic migrations, Poetry dependency management, a test suite and a fastzero app skeleton.

    Python

  4. go-crud-api go-crud-api Public archive

    Minimal CRUD REST API in Go, organised in the conventional cmd/controller/service/repository layering, with docker-compose for local dependencies.

    Go

  5. laravel-crud laravel-crud Public archive

    Standard Laravel 11 CRUD application with Blade views, Vite, PHPUnit and a local MySQL via docker-compose.

    Blade