Marcos Winicyus
Marcos is a Senior Analytics Engineer and AI Engineer with 7+ years building high-scale data platforms for financial institutions including Nubank and Itaú.
Currently modernizing Nubank's Lending data platform. As a key driver of Nubank's 'AI-First' strategy, he engineers autonomous Agentic Workflows to reinvent development and operational processes, eliminate technical debt, and accelerate software development cycles.
Previously at Itaú, he led data engineering teams to implement Data Mesh architectures and built RAG-powered systems that drastically reduced documentation and development cycles.
He holds a Master of Business Administration in Solutions Architecture from Full Cycle and a Bachelor's Degree in Computer Science from IFG.
Experience
Senior Analytics Engineer
Nubank
- Act as a key driver for Nubank's AI-First initiative by orchestrating hackathons and conducting technical trainings.
- Develop and deploy autonomous AI solutions (Agents, MCPs, Skills) that reinvent development and operational workflows.
- Built highly scalable credit policy pipelines in Scala and Spark on Databricks and AWS.
Data Engineer Specialist | Tech Lead
Itaú
- Led 10+ data engineers modernizing investment products, implementing Data Mesh architecture across 15+ squads.
- Built RAG-powered User Story generation system automating requirements documentation, reducing story creation time by 80%.
- Created QA test data generation tool using Glue Data Quality and RAG, improving test coverage by 95%.
- Designed serverless orchestration layer (AWS Step Functions) reducing investment product launch time by 20%.
- Created AI documentation migration tool processing 50,000+ pages, accelerating modernization cycle by 8x.
- Reduced critical ETL/ELT pipeline execution time by 80% through AI-generated Spark SQL and deep performance tuning.
Senior Data Engineer
Nagro Crédito Agro
- Led the automation of the credit concession process via microservices, a critical milestone that enabled record-time concessions and secured $15M+ in investment funding for the startup.
- Designed and built the core Back Office system (Streamlit), automating the loan formalization flow and serving as the backbone for allocating over $25M to investment products.
- Executed a strategic, zero-downtime cloud migration (GCP to AWS) for the entire credit analysis infrastructure.
- Developed end-to-end data pipelines and machine learning models for 10+ agricultural segments, reducing credit analysis time by over 40%.
- Engineered web scraping systems and calculated advanced credit risk metrics for automated analysis of portfolios totaling $30M+ in assets.
Education
Master of Business Administration, Solutions Architecture
Full Cycle
Bachelor's Degree in Computer Science
Instituto Federal de Goiás (IFG)