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Vetted Azure Synapse Analytics Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data pipelines and financial/billing analytics
Mid-level Business Analyst specializing in ERP, analytics, and process automation
Senior Data Scientist specializing in GenAI, MLOps, and cloud data platforms
Mid-level Data Analyst specializing in financial and healthcare analytics
Mid-level Data Scientist specializing in LLMs and applied machine learning
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
Executive CIO and AI Transformation Leader specializing in cloud, cybersecurity, and enterprise automation
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-Level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid-level Data Engineer specializing in cloud data pipelines and analytics (AWS/Azure)
Mid-level AI/ML Engineer specializing in cloud MLOps, LLM agents, and risk & fraud modeling
Mid-level Data Engineer specializing in big data pipelines and cloud data platforms
Senior Data Scientist specializing in ML engineering and cloud analytics
Mid-level AI/ML Engineer specializing in generative AI and cloud ML platforms
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.”
Poojitha Vajja
Mid-level Data Scientist / ML Engineer specializing in healthcare predictive analytics and NLP
“Built and deployed a real-time hospital readmission risk prediction system at NYU Langone Health, combining structured EHR data with BERT-based NLP on clinical notes and serving predictions to clinicians via Azure ML and FHIR APIs. Emphasizes production reliability and clinical trust through SHAP-based explainability and robust healthcare data preprocessing, and reports a 22% reduction in 30-day readmissions.”
Shanmukha Jwalith Kristam
Mid-level Data Scientist / ML Engineer specializing in MLOps and Generative AI
“Built and deployed an AI agent to help patients navigate complex housing information by scraping and normalizing unstructured data across all 50 U.S. states, then layering a LangChain RAG system with MMR re-ranking to reduce hallucinations. Experienced in orchestrating multi-agent workflows (LangGraph/CrewAI) and production reliability practices (Pydantic-validated outputs, LLM-as-judge evals, tracing). Also delivered stakeholder-facing explainability via SHAP dashboards for a loan-approval predictive model at Welspot.”