Vitor Cavalcante
@vitorcavalcante
Data engineer specializing in scalable pipelines, automation, and AI-enabled data workflows.
What I'm looking for
I am a results-driven data engineer with strong experience building scalable data pipelines, automation tools, and AI-ready metadata systems across cloud platforms. I have delivered measurable efficiency gains — automating schema generation, reducing manual DDL work, and improving data quality visibility.
My hands-on background spans Python, Java, Spark, Databricks, and major cloud providers (AWS, GCP, Azure), where I optimized ingestion and processing to cut runtime and increase data availability for analytics and ML. I have implemented production ETL frameworks, RESTful APIs, and tooling that enable downstream model fine-tuning and agent-driven automation.
I bring a pragmatic, engineering-first ethos focused on reducing manual work, increasing observability, and enabling AI-driven workflows that empower commercial and analytics teams across multiple countries.
Experience
Work history, roles, and key accomplishments
Data Engineer
AB InBev
Aug 2024 - Present (1 year 10 months)
Automated pipeline documentation and lineage to increase data-discovery across 20+ workflows and built a Python schema-generation tool that eliminated 95% of manual DDL scripting, saving 30+ hours/month.
Partner Integration Developer
Aqfer
Sep 2022 - Aug 2024 (1 year 11 months)
Built high-performance ETL pipelines and backend APIs ingesting 10+ sources to AWS/GCP, reducing processing time by 30% and increasing integration efficiency by 40% while automating ingestion of 1,200+ schema fields for segmentation.
Java Cloud Application Developer
Itlize Global
Apr 2022 - Sep 2022 (5 months)
Designed Spring Boot data pipelines and AWS-backed ingestion/storage solutions, improving resource utilization by 25% and delivering test automation with over 90% code coverage.
Education
Degrees, certifications, and relevant coursework
New York Institute of Technology
Bachelor of Science, Electrical and Computer Engineering
2018 - 2021
Grade: GPA: 3.9, Summa Cum Laude
Completed a Bachelor of Science in Electrical and Computer Engineering with a minor in Applied Mathematics, graduating Summa Cum Laude with a 3.9 GPA.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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