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Vetted Azure SQL Database Professionals
Pre-screened and vetted.
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
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Senior AI/ML Engineer specializing in healthcare LLMs and conversational AI
Senior Full-Stack Python Developer specializing in cloud, data platforms, and GenAI
Senior Software Engineer specializing in cloud-native systems and Generative AI
Sanskar Gupta
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Yashwanth Reddy
Senior Data Engineer specializing in cloud-native data pipelines and lakehouse platforms
“Data engineer at Microsoft who owned an end-to-end subscription analytics platform processing 7TB+ daily across 40+ pipelines, combining ADF batch ingestion with Kafka/Spark streaming and rigorous Great Expectations quality gates. Built a Fabric-based self-service ingestion platform with CI/CD and observability, plus a Databricks feature store serving near-real-time ML inference with Delta Lake reliability and versioning.”
Mid-level Python Developer specializing in cloud data engineering and ETL/real-time pipelines
Executive Technology Architect & CTO specializing in cloud transformation and cybersecurity
Mid-level Software Engineer specializing in backend microservices, data pipelines, and QA
Senior Unity Engineer specializing in VR and multiplayer networking