Event Streaming & Data Platforms

I design and scale Kafka-based architectures for high-throughput and multi-cluster environments.

Problem Space

Scaling data processing to meet real-time requirements often results in architectural bottlenecks and operational latency.

Architectural Approach

Design focuses on multi-cluster Kafka patterns, schema management, and configurations that prioritize data integrity and system availability at scale.

Outcomes

  • Delivered streaming platforms handling millions of events per second.
  • Reduced data processing latency for production applications.
  • Implemented disaster recovery and failover strategies for Kafka infrastructure.

Secure & Cleared Environments

I design systems for TS-cleared and multi-IL environments with security as a primary architectural constraint.

Problem Space

Deploying modern infrastructure in regulated federal environments requires navigating security boundaries, air-gapped environments, and ATO processes.

Architectural Approach

Hardened configurations using FIPS-compliant cryptography, mutual TLS (mTLS), and fine-grained authorization. Focus is on automating security controls to maintain technical velocity while ensuring compliance.

Outcomes

  • Delivered event-driven platforms in TS-cleared and multi-IL environments.
  • Implemented automated security compliance and policy enforcement for Kubernetes.
  • Engineered architectures that meet federal security controls and accelerate ATO processes.

Platform Architecture & Modernization

I lead the transition of mission-critical services to Kubernetes and containerized architectures.

Problem Space

Legacy monolithic applications often result in high infrastructure costs and restricted deployment cycles.

Architectural Approach

Migration of services to Kubernetes using containerization, service mesh (Istio), and cloud-native patterns to improve operational efficiency.

Outcomes

  • Migrated mission-critical services to Kubernetes, reducing infrastructure costs.
  • Increased system reliability and reduced deployment time through automation.
  • Implemented multi-cloud and hybrid-cloud architectures for flexibility and resilience.

Automation & Infrastructure as Code

I implement automation using Terraform and GitOps to create repeatable, auditable infrastructure.

Problem Space

Manual infrastructure management leads to configuration drift and inconsistent environments across cloud providers or data centers.

Architectural Approach

End-to-end automation using Terraform for IaC and GitOps workflows (ArgoCD, FluxCD) for continuous delivery and versioned infrastructure.

Outcomes

  • Developed custom Kubernetes Operators to automate service orchestration.
  • Established GitOps pipelines that reduce manual intervention.
  • Enabled consistent multi-environment management across AWS, Azure, and on-premise.