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Vetted Data Warehousing Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Principal Salesforce Architect specializing in AI, AWS, and enterprise integrations
Mid-level Solutions Engineer specializing in cloud data, AI, and healthcare analytics
Principal AI Platform Architect specializing in agentic AI and enterprise LLM infrastructure
Senior Data Engineer specializing in cloud-scale data pipelines and legal data systems
Executive CTO/VP of Technology specializing in platform modernization, data, and healthcare SaaS
Senior Infrastructure Platform Architect specializing in hybrid cloud and Kubernetes automation
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Senior Data Analyst specializing in healthcare and financial analytics
Senior Software Engineer specializing in distributed systems and agentic AI platforms
Mid-level Data Engineer specializing in real-time streaming and cloud data platforms
Senior Data Engineer specializing in cloud-scale pipelines and legal data utilities
Executive IT & Software Development Leader specializing in cloud-native transformation and trading platforms
Executive IT leader specializing in digital transformation and enterprise systems
Mid-level Financial Analyst specializing in banking and credit-risk analytics
Executive technology leader specializing in AI, cloud, and healthcare transformation
Principal Enterprise Architect specializing in cloud modernization for financial services
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Lalithya Manasa Patri
Senior Data Engineer specializing in cloud ETL and real-time streaming pipelines
“Data engineer with eBay experience owning end-to-end pipelines for real-time order and user behavior analytics at 10M+ records/day. Strong in PySpark/SQL transformations, Airflow reliability patterns, and production observability (CloudWatch), with measurable outcomes including improved data quality and 30–40% query performance gains. Also built Python data APIs for analytics/ML consumers with versioning and backward compatibility.”
Travoy Spelling
Senior Data Scientist / ML Engineer specializing in GenAI, LLMs, and NLP
“ML/NLP engineer focused on production GenAI and data linking systems: built a large-scale RAG pipeline over millions of support docs using LangChain/Pinecone and added a LangGraph-based validation layer to cut hallucinations ~40%. Also built scalable PySpark entity resolution (95%+ accuracy) and fine-tuned Sentence-BERT embeddings with contrastive learning for ~30% relevance lift, with strong CI/CD and observability practices (OpenTelemetry, Prometheus/Grafana).”