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Vetted Amazon SNS Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in distributed backend services and data pipelines
Mid-Level Backend Software Engineer specializing in FinTech and data pipelines
Senior Software Engineer specializing in backend systems and high-throughput data pipelines
Junior Software Engineer specializing in full-stack and machine learning systems
Intern Full-Stack Software Engineer specializing in cloud-native web platforms
Mid-Level Backend Engineer specializing in distributed event processing
Mid-Level Software Engineer specializing in FinTech, Treasury, and Compliance Systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Software Engineer specializing in web and mobile platforms
Mid-Level Software Development Engineer specializing in AWS serverless, security, and ML platforms
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Mid-level Software Development Engineer specializing in AWS incident management and AI analytics
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Junior Software Engineer specializing in backend systems and cloud messaging
Executive Engineering Leader specializing in AI automation and cloud platforms
Mid-Level Software Development Engineer specializing in AWS serverless and backend APIs
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Shuju Sun
Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment
“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”
Aleric Patterson
Senior Backend/Platform Engineer specializing in Python and AWS
“Backend/data engineer with hands-on production experience across Python/FastAPI services and AWS (Lambda, API Gateway, SQS, ECS) delivered via Terraform and GitHub Actions. Built Glue-to-Redshift ETL pipelines with Step Functions retry/catch patterns, schema evolution safeguards, and data quality checks; also modernized a legacy SAS monthly reporting system into Python microservices with rigorous side-by-side parity validation. Demonstrated strong SQL tuning skills with a reported improvement from 5 minutes to 15 seconds.”
Sowmya Battu
Mid-level Full-Stack Software Engineer specializing in cloud-native platforms
“Amazon experience integrating LLM-powered chat automation into Amazon Connect contact-center workflows, taking prototypes to production with compliance-minded guardrails, schema/policy validation, and robust fallbacks. Regularly supports rollout and adoption via developer workshops, integration guides, and customer calls, with strong production triage and observability practices.”
Charles Amoyaw
Senior DevOps Engineer specializing in cloud infrastructure and CI/CD automation
“Infrastructure/operations engineer with hands-on IBM Power/AIX administration (LPAR/DLPAR, HMC, RMC) and PowerHA cluster failover experience, plus modern DevOps tooling across CI/CD, Kubernetes/Helm, and IaC (Terraform/CloudFormation/Ansible). Emphasizes controlled change management, drift prevention via Git-as-source-of-truth, and observability practices using Prometheus/Grafana.”