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karinapinotti/README.md

👩‍💻 Karina Pinotti

💼 Software Engineer | Data Engineer | Java Specialist
🏦 +5 anos em ambientes corporativos (bancário) | 5+ years in corporate environments (banking)
☁️ Cloud | Microservices | Data Pipelines

🚀 Sobre mim | About me

Desenvolvedora de Software e Engenheira de Dados com mais de 5 anos de experiência, atuando principalmente no setor bancário.
Software Engineer and Data Engineer with 5+ years of experience, mainly in the banking sector.

Especialista em | Specialist in:

  • APIs e microserviços em Java (Spring Boot)
  • Engenharia de dados com Python, Spark e Databricks
  • Arquiteturas distribuídas e ambientes Cloud (AWS e Azure)

Atualmente aprofundando conhecimentos em:

  • Quarkus
  • Microsserviços modernos
  • Engenharia de dados escalável

🛠️ Stack Principal

💻 Linguagens

Java Python SQL JavaScript TypeScript

⚙️ Backend & Arquitetura

Spring Boot Quarkus Microservices REST API

📊 Engenharia de Dados

Apache Spark Databricks ETL Big Data

☁️ Cloud

AWS Azure

🗄️ Bancos de Dados

PostgreSQL Redis DB2

⚙️ DevOps & Ferramentas

GitHub Maven Azure DevOps

📌 Projetos em destaque

🔹 lacrimaniacos

API REST com Quarkus focada em performance e resiliência
→ https://github.com/karinapinotti/lacrimaniacos

🔹 banking-fraud-etl

Pipeline de dados para detecção de fraude bancária
→ Python + ETL

🔹 MachineLearning

Classificação de vinhos com Machine Learning
→ Python + Jupyter Notebook

🔹 omnistack

App/web para ONG de apoio a animais
→ JavaScript

🔹 SistemaCantina

Sistema desktop para controle de pedidos
→ C#

📊 Estatísticas

GitHub Streak

Profile Views

📊 Linguagens Mais Usadas

🌐 Contato

🔗 GitHub: https://github.com/karinapinotti
🔗 LinkedIn: https://www.linkedin.com/in/karina-bruschi-pinotti/

🧠 Keywords

Java Developer Backend Engineer Software Engineer Data Engineer Big Data Spark Databricks Microservices Spring Boot Quarkus AWS Azure ETL REST API Distributed Systems

Pinned Loading

  1. MachineLearning MachineLearning Public

    Algoritmo de machine learning para aprender a classificar vinhos com base nos dados de treino do canal: Didátoca Tech

    Jupyter Notebook 1

  2. banking-fraud-etl banking-fraud-etl Public

    Este projeto implementa um pipeline de ETL (Extract, Transform, Load) aplicado à detecção de fraudes bancárias, utilizando Python e a biblioteca Pandas.

    Jupyter Notebook

  3. lacrimaniacos lacrimaniacos Public

    Java

  4. unipds-ms-workshop unipds-ms-workshop Public

    Forked from eldermoraes/unipds-ms-workshop

    Java

  5. unipdsaccount unipdsaccount Public

    projeto quarkus controle transacional

    Java

  6. SpringUNIPD SpringUNIPD Public

    Estudos de spring pós da unipds

    Java