Westerley Reis is a Specialist Data Engineer with 10 years of experience designing and delivering scalable data platforms and end-to-end pipelines across AWS and GCP. With an MSc in Computer Science (AI) and a background spanning data engineering, dataops and machine learning, he helps organizations build Data Lakehouse architectures, Kubernetes-based big data stacks, and production ETL processes. He has led multiple data engineering teams, deployed infrastructure (Kubernetes, Spark Operator, Airflow, ArgoCD) and worked hands-on with Python, PySpark and SQL to optimize data ingestion and preprocessing. A former graduate instructor in DevOps and a researcher in NLP and deep clustering, he combines academic rigor with practical consultancy to bridge research, tooling and production-grade systems. Based in Mato Grosso do Sul, Brazil, he brings a mix of technical leadership and deep implementation experience across cloud-native data ecosystems.
10 years of coding experience
8 years of employment as a software developer
Master's degree in computer science, Artificial Intelligence, Master's degree in computer science, Artificial Intelligence at Universidade Federal de Mato Grosso do Sul
Data Engineering made simple - An opinionated Data Engineering framework
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