Vetted Cloud Migration Professionals

“Engineering leader in the railroad industry who has grown from hands-on software engineering into leading four development teams across mission-critical products, while staying deeply involved in architecture and modernization. Particularly strong in transforming legacy, multi-customer enterprise systems using Java/Spring Boot, React, PostgreSQL, cloud infrastructure, and CI/CD without sacrificing delivery stability.”

“Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.”

“NYC-based Head of Operations with 12 years at Banyan, LLC supporting a CEO across a complex umbrella (hedge fund/broker-dealer, fundraising initiatives, recruiting, and even personal assets like four apple orchards). Known for high-discretion executive support, rigorous inbox/action-item systems, and building lightweight tools (trackers/visuals and a temporary web splash page) to accelerate alignment and fundraising outcomes.”

“Entrepreneur with 20+ years in the recruiting industry building a Salesforce-based CRM tailored to track candidate outreach from initial identification (positioned as a differentiated alternative to traditional ATS workflows). Previously launched a small consulting company after spotting unmet technical needs among small medical practitioners, emphasizing branding and relationship-driven business development.”

“Cloud/DevOps-focused engineer with hands-on experience building Azure DevOps CI/CD pipelines for containerized applications deployed to AKS, including security scanning, approvals, versioned artifacts, and rollback. Also implemented Terraform-based IaC for Azure (VNets/subnets/NSGs/AKS) with modular design, remote state/locking, and drift detection; resolved a real deployment outage caused by an Azure RBAC permission change.”

“Backend Python engineer who owned the full backend build of an AI-driven platform for UK golf clubs, including FastAPI microservices, vector search, and a tuned LangChain+Pinecone RAG pipeline focused on cost and hallucination reduction. Experienced deploying Django/FastAPI/Flask stacks on AWS-backed Kubernetes with GitOps/ArgoCD-style delivery, plus executing legacy-to-AWS migrations and building Kafka-based real-time analytics pipelines.”

“Built a production multi-agent RAG assistant using LangChain/LangGraph with OpenAI embeddings and FAISS, focusing on retrieval quality and latency (Redis caching, parallel retrieval, precomputed embeddings). Experienced orchestrating ETL/ML pipelines with Airflow and Databricks Workflows, and has delivered an AI assistant for business ops to extract insights from policy/compliance documents through close non-technical stakeholder collaboration.”

“Experienced technology executive and consultant who has founded multiple companies and currently runs an IT consulting business providing fractional CIO/CTO services. Brings hands-on experience with VC-backed firms, startups, and rebuilding IT functions for acquired businesses, with a strong emphasis on ethical leadership and helping non-technical companies understand and leverage technology.”

“Infrastructure engineer focused on AWS platform automation: built a full CloudFormation-based environment (networking, Aurora, ElastiCache) and created Python tooling plus Lambda-backed custom resources to automate deployments, user provisioning (MySQL/RabbitMQ), and operational workflows. Also migrated a company from Rackspace to AWS and maintains an 8-year Debian homelab with VMs/containers, RAID6 backups, and GPU passthrough troubleshooting. No Kubernetes experience.”

“Seasoned engineering leader and Fractional CTO with 20+ years of experience helping startups navigate the transition from early product traction to scalable operations. Particularly strong in stepping into VC-backed, high-growth environments, stabilizing fragile MVP-era systems, and aligning technology strategy with business, operational, and fundraising goals.”