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Vetted Data Warehousing Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
Mid-level Data Engineer specializing in cloud data pipelines and Snowflake warehousing
Mid-level Data Engineer specializing in cloud data pipelines for Healthcare and FinTech
Junior Business Analyst specializing in data analytics and customer behavior insights
Mid-level Business Analyst specializing in BI, analytics, and process optimization
Mid-level Data Engineer and AI Engineer specializing in LLMs and data platforms
Senior Technical Program Manager specializing in cloud, data, and Agile delivery
Senior Software Engineer specializing in full-stack SaaS and cloud microservices
Mid-level AI Product Manager specializing in GenAI products and analytics
Mid-level AI & Data Engineer specializing in RAG and analytics platforms
Junior Data Scientist specializing in cybersecurity and AI/ML
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Executive Technology Leader specializing in Quantum Computing, AI, and Cloud Platforms
Senior Software QA & Data Systems Specialist in nuclear and regulated environments
Senior Technical Talent Acquisition Specialist in Digital Engineering, Cloud, and Data/AI
Kruti Mehta
Mid-level Software Engineer specializing in backend systems and FinTech analytics
“Engineer with a pragmatic, high-leverage approach to AI-assisted development: uses AI and multi-agent workflows aggressively for implementation and internal tooling, while maintaining strict human oversight for user-facing features. Stands out for treating agents like junior engineers, breaking work into actionable tasks, and combining robust testing, local E2E validation, and feature-flag rollouts to safely ship production code.”
John Farhat
Executive IT & Business Leader specializing in advisory, strategy, and enterprise technology
“Entrepreneur and operations/IT advisor who helps early-stage companies scale efficiently through automation (CRM lead capture, invoicing, collections) and pragmatic process design. Built a year-long data standardization solution converting broker inputs from 60+ formats, enabling better sales forecasting and market projections. Also advises founders on go-to-market fundamentals and creative fundraising strategies, including forming paid customer consortia to co-develop products.”
Helly Shah
Junior Data Analyst specializing in business analytics and machine learning
“Analytics-focused candidate with hands-on project experience in SQL data preparation and Python-based churn modeling. They demonstrated a practical approach to turning messy multi-source data into reporting tables, validating data quality rigorously, and translating churn insights into targeted retention strategies.”