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Vetted Azure SQL Database Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Neeraj Sharma
Executive Engineering Leader specializing in AI/ML platforms and cloud-scale distributed systems
“Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.”
Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms
Senior Full-Stack AI Engineer specializing in LLM/RAG and production ML platforms
Senior Full-Stack .NET Engineer specializing in cloud-native web applications
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Executive FinTech Founder and Software/Finance Leader specializing in data pipelines and valuation
Sergey Pustovit
Director-level Data Platform & Analytics Engineering Leader specializing in distributed systems
“Entrepreneurially minded builder focused on proving architecture concepts via minimal demo prototypes for marketing. Has hands-on experience improving an A/B experimentation framework by interviewing stakeholders, identifying system limits and bottlenecks, and defining success criteria to scale experimentation and speed up analysis.”
Abhishek Soppanna
Mid-level DevOps Engineer specializing in cloud-native infrastructure on AWS and Azure
“DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.”
Senior Software Engineer specializing in full-stack web platforms and cloud-native backend systems
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Senior Azure DevOps Engineer specializing in cloud architecture, IaC, and DevSecOps
Rakshak Shah
Intern Software Engineer specializing in cloud, AI, and systems programming
“AWS intern who significantly evolved a Drift Audit Service backend (Control Tower/EventBridge context) to make drift findings more explainable and reduce false positives by adding a verification step in Lambda before event ingestion. Demonstrates strong API design fundamentals in Python/FastAPI (contracts, idempotency, security controls) and careful rollout practices (feature flags, canaries, phased deployments).”
Senior DevOps Engineer specializing in Azure/AWS cloud infrastructure and CI/CD
Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML
Senior Cloud DevOps Engineer specializing in AWS/Azure platform engineering
Senior Software Engineer specializing in scalable cloud microservices and AI integration