I design & operate
data platforms
at scale
Data Architect & DataOps Engineer with 7+ years building enterprise-grade data infrastructure on AWS. I help organizations design scalable architectures, automate operations, and optimize cloud costs.
What I Do
Areas of Expertise
Data Architecture
Designing scalable data platforms: lakes, warehouses, zone models, batch & streaming patterns, and multi-layer architectures aligned with business needs.
DataOps & Automation
CI/CD for data, pipeline orchestration, observability, incident management, and automated infrastructure with Terraform and GitOps workflows.
Cloud Infrastructure (AWS)
20+ AWS services expertise. EKS, Lambda, Glue, Athena, Redshift, Bedrock, LakeFormation, and more. Multi-account governance and security.
FinOps & Cost Optimization
Right-sizing infrastructure, query optimization, storage tiering, reserved capacity planning, and resource tagging for cost visibility.
Security & Governance
90%+ Security Hub compliance, least-privilege IAM, KMS rotation, LakeFormation, Collibra, data masking, and audit-ready frameworks.
Generative AI Integration
Integrating LLMs, Bedrock, Sagemaker, and OpenAI into production data workflows. Building intelligent agents for automated data operations.
About Me
Ariel Guillermo Sánchez Paipilla
Systems Engineer from Colombia with a passion for building reliable, scalable data platforms. I specialize in turning complex data challenges into well-architected solutions that are secure, cost-efficient, and easy to operate.
From leading data teams and defining architecture standards to modernizing legacy infrastructure and integrating AI into production workflows — I bring a hands-on, results-driven approach to every project. Currently exploring the intersection of DataOps and Generative AI to build smarter, self-healing data platforms.