Matthew Blackmon

About

Backend/cloud engineer who built an AWS serverless IoT system that computes Bluetooth beacon locations from telemetry using heavy scientific Python (NumPy/SciPy/pandas) packaged as Dockerized Lambda, integrated with Java microservices and scheduled batch orchestration. Has deep AWS delivery experience (CI/CD with Code* tools, CloudFormation, cost controls) and has led high-severity incident response including CloudTrail forensics and infrastructure recovery after a compromised-keys crypto-mining attack.

Experience

Education

Key Strengths

• Built serverless Python IoT location-computation pipeline using scientific computing libraries (NumPy/SciPy/pandas) deployed as Dockerized Lambda
• Designed and owned AWS CI/CD and environment promotion strategy (dev/UAT/prod) using CodeCommit/CodeBuild/CodeDeploy and CloudFormation
• Cost and scaling governance in AWS (resource tagging, budgets/anomaly detection, Lambda concurrency limits, instance caps)
• Strong SQL performance optimization (indexes, partitioning, stored procedures) and mitigation of ORM/N+1 issues
• Built parallelized batch processing with partition-aware orchestration, read replicas, and controlled DB connection pooling
• Owned major security/production incident response (compromised keys/crypto mining), performed CloudTrail forensics, and restored service via backup account and IaC rebuild
• Modernized manual/legacy ingestion workflows into secure portal + auditable document storage with phased migration and customer-led validation