AWS Architect

Technical Expertise

• Enterprise Data & Cloud Architecture
• Expertise managing Enterprise Data Platforms including Data Lakes, Data Warehouses, and Data Marts.
• Experience with real-time and near real-time data streaming platforms.
• Expertise with relational, semi-structured, and unstructured databases.
• Strong proficiency with Python or Java.
• Experience designing large-scale APIs, microservices, and distributed streaming-based solutions.
• Skilled in supporting and managing large, complex, and geographically distributed cloud environments.
• Strong background in risk assessment, control design, gap remediation, and impact analysis.
• Extensive experience with MLOps frameworks and enterprise ML lifecycle automation, Including:
  • ML Lifecycle Architecture & Automation
  • Designing and implementing end‑to‑end MLOps pipelines: data ingestion, feature engineering, model training, tuning, evaluation, versioning, CI/CD for ML, approvals, and automated deployment.
  • Establishing model governance, including lineage, auditability, explainability, data validation, and responsible AI controls.
  • Model Deployment, Serving & Monitoring
  • Designing microservice-based ML inference architectures using EKS/ECS, Lambda, Step Functions, and event-driven patterns.