Resume · Maicon Moreira

Resume

Maicon Moreira

Software engineer · data, cloud, and product systems

Back home

I build software that turns messy data and hard workflows into useful products. My work has taken me from financial data and cloud platforms to healthcare, logistics, banking, blockchain, and AI-assisted SaaS.

Experience

Grupo Vertis

2025–present

Software engineer · custom SaaS

  • I work on custom software for public-sector and institutional teams, including ProRegistro.
  • I helped shape the workflow from meeting capture and transcription to review, AI-assisted minutes, approval, and export.
  • I also work on the AWS processing platform, cost visibility, and reusable AI/agent tooling for new products.

Blockful

2024–2025

Blockchain and cloud engineering

  • Worked on smart contracts and AWS infrastructure for Ethereum and ENS-related products.
  • Built and maintained systems around nodes, resolver services, domain flows, data sync, and observability.

Rox Partner

2021–2024

Lead software engineer · DataOps and DevOps

  • Built data platforms and cloud infrastructure across AWS and Azure for healthcare, logistics, and banking projects.
  • At Marista, I worked on healthcare and finance data flows using Azure Data Factory, Synapse, Oracle Tasy, layered data models, monitoring, and BI refreshes.
  • At JSL, I worked on an Azure data lake that brought together SAP, Oracle, SQL, APIs, billing, HR, and logistics data.
  • At Safra, I built SQL and PySpark products and validations for banking journeys such as Pix, cards, digital accounts, NPS, insurance, and credit scoring.

Partnr

2018–2021

Founder and co-CTO

  • Built a B2B financial-data platform that processed terabytes of public data for market and company insights.
  • Worked on APIs and ETL pipelines for company records, public CVM filings, financial indicators, and insider trades.
  • Led engineering work across data processing, cloud systems, and high-availability services.

What I usually work on

Data platforms

Ingestion, ETL, validation, APIs, analytics, and data products that people can trust.

Cloud systems

AWS and Azure infrastructure, deployment, monitoring, security, reliability, and sensible cloud costs.

Product engineering

Turning complicated business rules into clear workflows, accessible interfaces, and maintainable software.

Tools and technologies

  • Python
  • SQL
  • PySpark
  • Dask
  • Node.js
  • REST APIs
  • AWS
  • Azure
  • Terraform
  • Data Factory
  • Synapse
  • Ethereum
  • ENS
  • AI and audio workflows

More projects are on GitHub. You can also find me on LinkedIn.