Resume
Maicon Moreira
Software engineer · data, cloud, and product systems
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–presentSoftware 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
2024–2025Blockchain 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
2021–2024Lead 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
2018–2021Founder 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.