Teams at AgileEngine

Design and optimize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Build agentic workflows that automate data validation, troubleshooting, and operational processes. Develop reusable frameworks, implement data quality and monitoring controls, optimize workloads, and support testing, deployment, productionization, and ongoing enhancements across data engineering solutions.

Build and operate cloud infrastructure, CI/CD pipelines, Kubernetes platforms, and observability for Data and AI teams. Develop infrastructure as code, implement PCI-aware security and compliance controls, lead incident response, and improve reliability. Partner with developers and technical stakeholders on platform tooling, developer self-service, internal standards, and production operations across distributed teams.

Designs, deploys, and manages scalable GCP infrastructure, Kubernetes workloads, serverless applications, and CI/CD pipelines. Uses Terraform, Azure DevOps, Bash, and PowerShell to automate infrastructure and application delivery. Manages GKE, Helm deployments, networking, storage, load balancing, monitoring, cost optimization, and zero-downtime releases. Integrates cloud security, IAM, compliance, and DevSecOps practices.