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Vetted Data Warehousing Professionals
Pre-screened and vetted.
Junior Machine Learning Engineer specializing in fraud detection, KYC, and LLM applications
Mid-level Data Engineer specializing in cloud ETL/ELT and real-time streaming
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
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
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.”
VIJAY SAGI
Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines
“Data/ML platform engineer with ~6 years in financial services and enterprise data platforms, building regulated fraud/credit-risk pipelines on AWS (Airflow, EMR/Spark, MLflow) and an Azure lakehouse ingesting 50+ sources and serving ~100M records/day. Also led an early-stage deployment of a RAG-based internal AI search tool using AWS Bedrock and LangChain with automated evaluation to validate LLM accuracy.”