Big Data · Automation · Web Applications
Full-stack developer, database architect, and Kubernetes admin turning massive datasets into actionable intelligence.
$ kubectl get pods -n sparkapp
NAME READY STATUS
spark-driver-01 1/1 Running
spark-exec-01 1/1 Running
spark-exec-02 1/1 Running
$ spark-submit --master k8s://...
Job completed: 847M rows processed
$ _
I'm a jack-of-all-trades technologist based in Arizona with deep roots in big data, database administration, and full-stack development.
I specialize in designing and managing data platforms that process hundreds of millions of records, building automation pipelines that eliminate manual work, and developing web applications that make complex data accessible.
My day-to-day spans PySpark ETL jobs on Kubernetes, SQL Server and Hive warehouse optimization, Flask/FastAPI microservices, and infrastructure management across on-prem and cloud environments.
Large-scale data processing with PySpark, Hive, and Iceberg. Pipeline design, optimization, and monitoring for datasets in the hundreds of millions.
Kubernetes cluster management, containerized deployments, CI/CD pipelines, and infrastructure-as-code across on-prem and cloud environments.
Full-stack development with Flask, FastAPI, and Bootstrap. Internal tools, portals, APIs, and automation dashboards built for real-world scale.
SQL Server, MySQL, MongoDB, and Hive. Query optimization, schema design, replication, backup strategies, and performance tuning.
Eliminating manual work through intelligent automation. File watchers, scheduled pipelines, webhook integrations, and self-healing systems.
Architecture reviews, technology selection, performance audits, and hands-on implementation for teams looking to scale their data operations.
Have a project in mind or need help with your data infrastructure? Drop me a line.