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Vetted Azure Data Factory Professionals
Pre-screened and vetted.
Jesse Olson
Executive AI technology leader specializing in agentic AI and enterprise transformation
“Candidate is exploring a startup in the autonomous agentic AI space and is approaching it with a disciplined founder mindset. They are evaluating market opportunity, competition, customer pain, ROI, technical feasibility, and MVP options while already speaking with potential customers across verticals to validate needs and buying processes.”
Director-level Data & AI Engineering Leader specializing in cloud-native analytics and GenAI
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”
Executive Technology & Data Leader specializing in AI, cloud modernization, and digital strategy
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Full-Stack Engineer specializing in cloud-native and AI-powered enterprise products
Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Mid-level Applied AI Engineer specializing in LLMs, MLOps, and real-time AI systems
Principal business value leader specializing in AI, data, and cloud transformation
Principal Software Engineering Manager specializing in cloud platforms and security
Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms
Kalyani Chittipolu
Mid-level Data Engineer specializing in AI/ML platforms and cloud data pipelines
“Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.”
Ravikanth Kasamsetty
Executive AI/ML Engineering Leader specializing in cloud-native SaaS and GenAI platforms
“Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.”
Sergey Pustovit
Director-level Data Platform & Analytics Engineering Leader specializing in distributed systems
“Entrepreneurially minded builder focused on proving architecture concepts via minimal demo prototypes for marketing. Has hands-on experience improving an A/B experimentation framework by interviewing stakeholders, identifying system limits and bottlenecks, and defining success criteria to scale experimentation and speed up analysis.”
Mid-level Security Engineer specializing in application security, IAM, and AI red teaming
Junior AI Engineer specializing in LLM systems and network automation
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML