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Vetted AWS Glue Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native SaaS and event-driven microservices
Senior Software Engineer specializing in AI orchestration and backend systems
Mid-level Software Engineer specializing in Python backend and ML infrastructure
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation
Senior Software Engineer specializing in distributed systems and data infrastructure
Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation
Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems
Intern Software Engineer specializing in data engineering and LLM evaluation
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Staff Software Engineer specializing in cloud-native AI and supply chain platforms
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Staff Software Engineer specializing in streaming platforms and AI-driven experiences
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Senior Data Scientist specializing in large-scale ML systems and recommendations
Brian Sanders
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”