Edinor Santos da Cunha
Senior Data Engineer @X-Team
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WORK HISTORY
Senior Data Engineer @X-Team
Calgary, AB, CA
Working as a Senior Data Engineer contracted to Skillz Inc, a large-scale mobile gaming platform, contributing to the modernization and scalability of its data infrastructure.Key responsibilities:• Designed and maintained scalable data pipelines supporting real-time and batch analytics workloads• Contributed to the evolution of cloud-native data architecture across AWS and Snowflake environments• Implemented ETL workflows using AWS Glue, PySpark, and distributed processing patterns• Managed S3-based data lake architectures and Redshift/Snowflake integrations• Supported infrastructure provisioning and automation using Terraform• Collaborated in high-throughput environments where performance, cost-efficiency, and reliability were criticalWorked within a distributed engineering team contributing to platform-level improvements that support data-driven decision-making at scale.Technologies: AWS (Glue, Lambda, S3, Redshift), Snowflake, Python (PySpark, Pandas), Terraform.
EDUCATION
Universidade Católica Dom Bosco
Tecnologia em Redes de Computadores, Redes de Computadores
Faculdade Metropolitana
Master of Business Administration - MBA, Engenharia de Software
SKILLS
ABOUT EDINOR SANTOS DA CUNHA
Edinor Junior is a Senior Data & GenAI Platform Engineer with nearly two decades of experience designing and operating scalable, cloud-native systems.His background is rooted in data engineering and distributed systems, where he has led the development of high-throughput data platforms, real-time processing pipelines, and resilient cloud architectures across multiple industries. This foundation naturally extended into architecting production-grade GenAI platforms that integrate LLM-based capabilities into enterprise environments.Edinor focuses on building systems designed for production. His work combines data engineering, platform engineering, and DevOps principles to support retrieval systems (RAG), inference services, orchestration layers, observability, and cost-efficient cloud deployments.He specializes in designing scalable architectures that enable organizations to transition from AI prototypes to reliable, production-ready systems with strong operational foundations.In addition to hands-on engineering, Edinor contributes through technical leadership and mentoring, supporting teams in building robust data and AI platforms.Core expertise: Data Engineering, GenAI Platforms, LLM Systems, Cloud Architecture (AWS & Azure), Distributed Systems, Python, Spark, SQL, and Platform Engineering.
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