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Vetted Databricks Professionals
Pre-screened and vetted.
Intern Data Analyst/Data Scientist specializing in product analytics and ML
Mid-level Data Engineer specializing in streaming, lakehouse platforms, and LLM-driven data workflows
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Director of Software Engineering specializing in cloud modernization, AI, and data platforms
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Mid-level AI Engineer specializing in LLM agents, RAG, and enterprise GenAI
Junior Business Intelligence Engineer specializing in experimentation and causal inference
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
VP Data Engineer specializing in AI-driven analytics platforms for investment management
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in streaming and cloud lakehouse platforms
Mid-level Data Engineer specializing in AWS, Spark, and streaming data pipelines
Mid-level Data Engineer specializing in cloud-native ETL and data warehousing
Senior Technical Product Manager specializing in cloud platforms and full-stack engineering
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Senior AI/ML Engineer specializing in GenAI, LLMs, NLP, and MLOps
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Katie Mulryan
Senior Workforce Analytics Manager specializing in Talent Acquisition and recruiting insights
“Talent/Recruiting Operations analytics leader who has owned TA data/analytics, HR tech, onboarding, and HR product teams, managing globally distributed teams up to 13. Notably standardized hiring target-setting across 800+ recruiters using data-driven mathematical models, improving fairness and delivering a 20% headcount save. Experienced in major TA tech transitions (Avature to PhenomPeople) with ownership of data quality, reporting, KPI measurement, and workflow design.”
Keith Aumiller
Director-level Data & AI Leader specializing in enterprise transformation
“Built Cigna Health’s risk-based management/monitoring system used as a primary product for pharmaceutical clients, supporting clinical trials and utilized during the COVID-19 pandemic. Currently running a community-based startup (details kept proprietary) and is open to executive roles or joining a strong team with a clear path to success, evaluating opportunities via ROI.”