10+ years building large-scale data infrastructure and cloud platforms across healthcare, fintech, banking, and insurance — with deep expertise in Amazon Connect, PCI-DSS/HIPAA compliance, and AI/ML integration.
ML-powered enterprise search — setting up an index, configuring data source connectors across S3, Sharepoint, Salesforce, and ServiceNow. Metadata, FAQ ingestion, and query tuning for relevance at scale.
Building the full CTR analytics pipeline — Kinesis Data Stream → Firehose → S3 → Athena → QuickSight. Partition strategies and Lambda transforms.
Daily Terraform workflows — init, workspace management, state file hygiene, and integrating terraform into Jenkins CI/CD pipelines.
Scoping modules with encapsulation, privilege boundaries, and volatility. Building reusable 80% MVPs without over-engineering edge cases.
Terraform autocomplete, Docker, AWS Toolkit, Git Graph — the extensions that actually save time in multi-cloud workflows.
Bootstrapping a private GitLab group, configuring runners, and wiring Terraform infrastructure deployments into a real CI/CD flow from scratch.
Senior Staff Engineer with 10+ years building large-scale data infrastructure across healthcare, fintech, banking, and insurance. I specialize in cloud architecture, ETL systems, and contact center platforms — with a focus on delivering outcomes that actually move the needle, not just shipping code.
Beyond the technical work, I'm invested in growing engineering teams — mentoring engineers, raising the bar on architectural thinking, and helping organizations make better decisions with their data. Research and continuous learning are non-negotiable parts of how I operate.
This site is where I write about the work: deep dives into AWS and multi-cloud architecture, IaC patterns, data engineering at scale, and whatever I'm actively researching or building. If something took me time to figure out, it probably belongs here.