Skip to content

Data Engineer

Diógenes Dietrich de Morais

From full stack to data: I build pipelines that flow like water — from raw data to decisions.

  • Nova Hartz, RS · Brazil
  • Currently at NoHarm.ai
Scroll to dive in

About

From apps to data

I started at CIMOL technical school training an AI to recognize melanomas in skin photos — the first time data and healthcare crossed paths in my career.

I then spent almost five years building full stack products: APIs in Java/Spring and Go, apps in Flutter and Next.js, data modeling on Oracle, SQL Server and PostgreSQL.

Today I'm a Data Engineer at NoHarm.ai, moving hospital data into clinical pharmacy: AWS pipelines, SQL modeling for reporting and LLM-powered text-to-SQL.

years of experience
5+
companies
4
public repositories
44
databases used day to day
6
Photo of Diógenes Dietrich de Morais
Share of my work focused on dataPersonal estimate, per year.
Year and share of data-focused work
202125%
202230%
202330%
202435%
202545%
202690%

Stack

Tools I use to move data

  • Cloud & Infra

    since 2021 · 5 years
    • AWS Lambda
    • AWS SAM
    • Amazon S3
    • Azure Service Bus
    • Azure Key Vault
    • Docker
    • CI/CD
  • Ingestion & ETL

    since 2025 · 1 year
    • Python
    • Pipelines ETL
    • AWS Lambda
    • Integrações hospitalares
    • APIs REST
  • Processing & Modeling

    since 2021 · 5 years
    • SQL
    • PL/SQL
    • Modelagem relacional
    • Relatórios
    • SQLAlchemy
  • Storage

    since 2021 · 5 years
    • PostgreSQL
    • Oracle
    • SQL Server
    • MySQL
    • MariaDB
    • MongoDB
  • AI & LLM

    since 2020 · 6 years
    • Text-to-SQL
    • Vanna
    • LLMs
    • AWS Bedrock
    • TensorFlow
  • Dev & Apps

    since 2021 · 5 years
    • Java
    • Spring Boot
    • Go
    • TypeScript
    • Next.js
    • Flutter
    • FastAPI
    • Flask
    • Node.js

Experience

A career pipeline

Each job is a pipeline stage. Education joins from the sides, like new data sources.
  1. Source

    IT Technician

    CIMOL

    Thesis: applying AI to melanoma recognition.

  2. Full Stack Developer

    SnapControl · Parobé, RS · On-site

    • Java/Spring Boot systems for BI, e-commerce and benefits clubs.
    • Data modeling, querying and maintenance on Oracle (PL/SQL), MySQL, PostgreSQL and MariaDB.
    • Azure integrations with Service Bus and Key Vault; shipping with Docker and CI/CD.
    • Java
    • Spring Boot
    • Oracle PL/SQL
    • Azure
    • Docker
  3. Source

    B.Sc. in Information Systems

    FACCAT

    Completed.

  4. Full Stack Developer

    Calçados Status · Igrejinha, RS · Hybrid

    • Flutter mobile and web apps with offline mode to read and edit data without connectivity.
    • Go API on Microsoft SQL Server, focused on optimized queries.
    • CI/CD pipelines to automate delivery.
    • Flutter
    • Go
    • SQL Server
    • CI/CD
  5. Full Stack Developer

    Lighthouse · Remote

    • Core API in Java/Spring Boot plus three BFFs (Backend for Frontend) on top of it.
    • AWS integration for file uploads, with PostgreSQL persistence.
    • Built the three Next.js applications consuming those BFFs.
    BFFs in production
    3
    Next.js apps
    3
    • Spring Boot
    • BFF
    • AWS
    • PostgreSQL
    • Next.js
  6. Current

    Data Engineer

    NoHarm.ai · Remote

    • AWS ETL pipelines moving hospital data into clinical pharmacy.
    • SQL modeling and the reporting layer on PostgreSQL.
    • LLM-powered text-to-SQL: natural-language questions become queries over clinical data.
    • Data APIs in Python.
    • Python
    • SQL
    • PostgreSQL
    • AWS
    • LLM

Projects

Things I've built

NoHarm.ai case · private

Clinical text-to-SQL

Clinical pharmacists ask questions in plain language; an LLM pipeline generates SQL over NoHarm's data model, runs it on PostgreSQL and returns the answer.

  1. Question
  2. LLM
  3. SQL
  4. PostgreSQL
  5. Answer
  • Python
  • LLM
  • Vanna
  • PostgreSQL
  • AWS

Private code

Research · CIMOL thesis

photo-doc

AI to spot irregularities in skin moles from photos — where data and healthcare first met in my career.

  • TensorFlow
  • Visão computacional
  • Web

Contact

Let's talk

Happy to talk data engineering, healthcare and products that keep data flowing.
diogenes.dietrich.dev@gmail.com
E-mail