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Vetted Microsoft SQL Server Professionals
Pre-screened and vetted.
Mid-level Backend Software Engineer specializing in Java microservices and cloud-native systems
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Mid-level Full-Stack .NET Developer specializing in Angular and ASP.NET Core APIs
Senior Cloud Security Engineer specializing in Azure security and cloud governance
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Senior Java Full-Stack Developer specializing in cloud-native FinTech and payments
Senior Full-Stack Developer specializing in Java microservices and AWS cloud
Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Senior QA Analyst specializing in test automation, API testing, and ETL/data validation
Senior QA Engineer specializing in web, mobile, and embedded systems testing
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Engineering Leader specializing in FinTech, payments, and enterprise platforms
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Senior QA Engineer specializing in test automation, API validation, and CI/CD quality
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Executive Enterprise Architect specializing in cloud, ERP/CRM, integrations, and AI/ML
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”