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Vetted Data Engineers
Pre-screened and vetted.
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Mid-level Data Engineer specializing in ML automation and LLM-powered analytics
Junior Data Engineer specializing in Azure, ETL, and applied ML
Principal Software Engineer specializing in cloud platforms and data analytics
Mid-level Data Engineer specializing in real-time streaming and AI/ML data platforms
Senior Data Engineer specializing in cloud data platforms and streaming analytics
Mid-level Data Engineer specializing in cloud ETL and healthcare data platforms
Mid-level Data Engineer specializing in cloud data pipelines and financial/billing analytics
Mid-level AI/ML Engineer specializing in cloud ML, NLP/LLMs, and real-time data pipelines
Senior Data Scientist specializing in GenAI, MLOps, and cloud data platforms
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
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 Data Engineer specializing in cloud ETL, streaming, and ML-ready data pipelines
Mid-level Data Engineer specializing in big data pipelines and cloud data platforms
Senior Data Scientist specializing in ML engineering and cloud analytics
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Likitha Kukunarapu
Mid-level Applied AI Engineer specializing in data engineering and healthcare AI
“Built production LLM agents spanning document Q&A, financial insight generation, and ERP-like operational data workflows, with a strong focus on reliability, grounding, and evaluation. Stands out for translating LLM systems into measurable business outcomes, including 70%–80% support workload reduction and a fallback-rate improvement from 18% to 8% through targeted RAG iteration.”