Summary
Alysson Gomes is a data engineer and backend developer with about a decade of hands-on experience building scalable, data-driven architectures across cloud environments. He specializes in data lakes, lakehouse patterns and data warehouses using Databricks, Snowflake, GCP and Azure, with strong Python, PySpark and SQL skills and production experience in Docker, Kubernetes and Terraform. His background blends academic research in NLP and semantic web with industry delivery, having implemented LLM/RAG solutions, semantic knowledge graphs and NLP pipelines for technical documents. At datamint and Dhauz he focuses on performance, automation and data quality—optimizing jobs, incremental ingestion and governance to reduce costs and improve reliability. He pairs this technical depth with practical API and backend work (Flask, ASP.NET) and a habit of validating new approaches through PoCs. Based in Ceará, Brazil, he brings a research-informed perspective to operational data engineering problems, often bridging semantic techniques and pragmatic ETL for richer analytics.
11 years of coding experience
Curso Técnico em Informática, Information Technology, Curso Técnico em Informática, Information Technology at Escola Estadual de Educação Profissional Flávio Gomes Granjeiro
Pontifical Catholic University of Rio de Janeiro
Sistemas de Informação, Information Technology, Sistemas de Informação, Information Technology at Universidade Federal do Ceará
Portuguese, English, Spanish