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Vitor RibeiroVR
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Vitor Ribeiro

@vitorribeiro

I build reliable AWS lakehouse platforms processing millions of records with Spark, Delta Lake, and dbt.

Brazil
Message

What I'm looking for

I'm looking for remote or relocation opportunities where I can build reliable AWS data platforms, lakehouse pipelines, and production-grade data systems with end-to-end ownership.

I've built and operated data lakes for LicIA, an AI-powered public procurement intelligence platform, processing 7,000–9,000 files daily into approximately 20 governed AWS Glue tables for internal teams and customer dashboards.

I improved production reliability by correcting SQS visibility handling and replacing non-atomic Redis batching with Lua operations, eliminating 2–5 silently dropped events per day and sustaining zero observed losses for four months. I also led a 14-configuration OCR benchmark across 400+ pages, reducing character error by 55% and improving table-structure accuracy by 21%.

For RBOOH, I delivered a Polars, Delta Lake, FAISS, dbt, and Spark pipeline in seven weeks that produces approximately one million deduplicated listings per run across 108 cities.

I've also led the architecture for Phytoflow, building Terraform-managed AWS IoT Core infrastructure and a serverless Lambda-to-S3 telemetry pipeline with partitioned Parquet data and AWS Glue cataloging.

Experience

Work history, roles, and key accomplishments

RB
Current

Data & Backend Engineer

RBOOH

Feb 2026 - Present (6 months)

Delivered in seven weeks a Polars, Delta Lake, FAISS, dbt, and Spark data lake pipeline producing approximately 1 million deduplicated listings per run across 108 cities. Reduced recurring capital-city listing datasets by approximately 40% through FAISS-based semantic duplicate detection.

LI
Current

Data & Backend Engineer

LicIA

Jul 2025 - Present (1 year 1 month)

Built and operated an S3/SQS/Celery data lake processing 7,000–9,000 files daily into approximately 20 governed, foreign-key-linked AWS Glue tables for four internal teams and customer dashboards. Eliminated 2–5 silently dropped events per day by correcting SQS visibility handling and replacing non-atomic Redis batching with Lua operations.

Education

Degrees, certifications, and relevant coursework

Escola Politécnica da Universidade de São Paulo (Poli-USP) logoEP

Escola Politécnica da Universidade de São Paulo (Poli-USP)

Specialization, Data Engineering and Big Data

2026 -

Specialization in Data Engineering and Big Data, expected to complete in 2027.

Universidade Federal de Goiás (UFG) logoUU

Universidade Federal de Goiás (UFG)

Bachelor of Science, Software Engineering

2021 - 2025

Bachelor of Science in Software Engineering from the Federal University of Goiás, completed in January 2025.

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