Stack I use, tools I trust, and technologies that shape me.

The languages, platforms and tools I work with daily — in production at Itaú, in personal projects and in my home lab.

Linguagens / Languages

  • Python

    My main language since 2017. I use Python in data engineering, backend, automation and Machine Learning projects.

  • TypeScript

    Primary language for the frontend at Itaú. Used with Angular in production products for over 3 years.

  • SQL

    A fundamental skill in my data career. Oracle, Hive, Impala and relational databases for 9+ years.

  • Go

    Used in personal projects, CLIs and automations. I hold a Udemy certificate and have a fullstack project running in the home lab.

  • PySpark

    Large-scale data processing in my current role — AWS Glue with PySpark for ingestion and transformation of large volumes.

Cloud & Infra

  • AWS (Glue · Step Functions · Lambda · S3)

    Primary cloud stack. Heavy use of Glue, Step Functions, Lambda and S3 in production at Itaú.

  • GitHub Actions

    CI/CD for standardized data services deployment. Pipeline built from scratch in my current role.

  • Kubernetes

    Cluster set up from scratch on a Raspberry Pi. Hands-on environment for orchestration and infrastructure studies.

Dados & IA / Data & AI

  • Apache Spark / PySpark

    Used at Santander with Hadoop and at Itaú with AWS Glue for large-scale Big Data processing.

  • OpenAI API

    Embeddings API used in the clustering project for semantic identification of customer pain points.

  • Pandas

    Standard tool for data analysis and manipulation in Python. Present in virtually every project.

  • Power BI

    Operational dashboards for sales and customer service teams at Santander.

Frontend

  • Angular

    Primary frontend framework at Itaú. Used in the Access Management screen and other production products.

  • Next.js

    Used in home lab projects alongside Go. A hands-on learning stack outside the corporate environment.

Ferramentas / Tools

  • Git / GitHub

    An essential tool in my daily routine. Advanced use with collaborative workflows, branches and Actions automations.

  • Visual Studio Code

    My main editor for all languages. Configured with specific extensions for Python, TypeScript and Go.

  • Raspberry Pi

    Single-board computer running my Kubernetes cluster. The backbone of my home lab for infra and deployment experiments.