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Vetted Data Warehousing Professionals
Pre-screened and vetted.
Director-level Talent Acquisition & Business Development leader in staffing and consulting
Executive Engineering Leader specializing in AI, SaaS, and platform modernization
Executive Innovation Leader specializing in AI-native platforms and healthcare staffing
Senior Lead Data Engineer specializing in cloud data platforms and real-time ML pipelines
Junior ML/Data Engineer specializing in NLP, cloud data pipelines, and real-time sentiment analysis
Mid-level Machine Learning Engineer specializing in MLOps, fraud detection, and data security
Senior Full-Stack Software Engineer specializing in cloud microservices and data platforms
Junior Software Engineer specializing in full-stack development and applied ML
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Senior Data Analyst specializing in BI, data engineering, and predictive analytics
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Business Analyst specializing in BI, predictive analytics, and operations
Mid-level Business Operations Analyst specializing in healthcare analytics and Salesforce
Executive technology leader specializing in supply chain, logistics, and AI platforms
Naresh Vemula
Mid-level Data Engineer specializing in Cloud & Big Data ETL/ELT
“Data engineer in financial services (Northern Trust) who has worked across ingestion, transformation, data quality, orchestration, and serving on AWS (S3/Glue/EMR) with Airflow. Highlights include processing ~15M transactions with validation/anomaly detection for regulatory reporting and improving Snowflake query performance by 27% for risk/compliance reporting. Also built a personal real-time streaming service (FastAPI, Kafka, Redis, Cassandra) and uses production reliability patterns like blue-green/atomic swaps and robust retry strategies.”
Yashwanth Penugonda
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production GenAI systems
“Built and deployed a production LLM-powered RAG knowledge system to unify operational/policy information across PDFs, wikis, and databases, emphasizing auditability and low-latency/cost performance. Improved answer relevance at scale by moving from pure vector search to hybrid retrieval with metadata filtering and reranking, and partnered closely with healthcare operations/compliance to define acceptance criteria and human-in-the-loop guardrails.”
Kalyani sai laxmi pallavi lakkoju
Mid-level Data Analyst specializing in BI, supply chain, and AI analytics
“Analytics-focused candidate with hands-on experience in both supply chain data and AI product analytics. They have built SQL and Python pipelines for messy ERP/inventory data as well as high-volume user event data, and have driven experimentation, retention measurement, and dashboarding for AI avatar and voice/image cloning features.”