AWS
Intermediate3+ years experienceCloud & DevOps
Solid understanding with practical experience in multiple projects
My Experience
Amazon Web Services cloud platform for building scalable, secure infrastructure. Experienced in deploying data pipelines, serverless functions, and storage solutions.
Technical Deep Dive
Core Concepts I'm Proficient In:
• S3: Object storage for large-scale data ingestion, archival, and backup operations handling 3,100+ breach reports annually
• Lambda: Serverless compute for event-driven data processing with scheduled web crawler execution
• ElastiCache (Redis): Managed in-memory caching for high-performance data retrieval and analytics dashboards
• IAM Security: Implementing role-based access control with principle of least privilege for secure resource management
• Infrastructure Design: Architecting scalable, privacy-safe cloud solutions for cybersecurity intelligence platforms
• Data Encryption: Implementing encryption strategies for data at rest and in transit to protect sensitive breach information
Advanced Cloud Architecture Patterns:
• Multi-Service Integration: Building end-to-end data pipelines connecting Lambda, S3, ElastiCache, and analytics services
• Scheduled Serverless Execution: Deploying Lambda functions with CloudWatch Events for weekly web crawler runs
• Privacy-First Design: Architecting systems with zero PII ingestion through intelligent data filtering and normalization
• Cost-Aware Infrastructure: Balancing performance requirements with AWS pricing models for sustainable operations
• Security Best Practices: Configuring IAM roles, security groups, and encryption to meet cybersecurity platform requirements
• Scalable Storage: Organizing S3 buckets for raw data ingestion and backup with logical naming and lifecycle management
Complex Problem-Solving Examples:
Cybersecurity Intelligence Platform Architecture:
Designed and provisioned a comprehensive AWS infrastructure for the AI Data Breach Hub that processes 3,100+ breach reports annually. The architecture leverages S3 for scalable object storage (raw data ingestion and backups), Lambda for scheduled web crawler execution (weekly scraping jobs), and ElastiCache for Redis-based caching that accelerates analytics dashboard response times. Implemented strict IAM role configurations ensuring each component has only the necessary permissions for its specific tasks, following AWS security best practices. The entire system operates with zero PII ingestion through intelligent data filtering in the scraping and normalization layers, ensuring the platform can safely process cybersecurity intelligence without exposing sensitive personal information.
Serverless Data Ingestion Pipeline:
Built an automated data collection system using Lambda functions triggered by CloudWatch Events on a weekly schedule. These Lambda functions execute web crawlers that collect breach data from various sources (PDFs, advisories, news sites), filter out any PII, and store the normalized results in S3 buckets organized by data type and timestamp. The serverless approach eliminates server management overhead while providing reliable, scheduled execution that keeps the breach intelligence database current with minimal operational costs.
Areas for Continued Growth:
• Rapid Deployment Services: Learning AWS services that enable faster deployment workflows (compared to traditional AWS complexity)
• Advanced Architectures: Exploring ECS for containerized workloads, Step Functions for complex workflows, and SageMaker for ML deployment
• Cost Optimization: Deepening expertise in AWS cost management, right-sizing instances, and leveraging spot instances for batch processing
• Infrastructure as Code: Mastering CloudFormation, CDK, or Terraform for reproducible, version-controlled infrastructure deployment
Projects Using AWS
3+ years
Experience
1
Projects
Intermediate
Proficiency