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Vetted dbt Professionals
Pre-screened and vetted.
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Staff Data Scientist specializing in machine learning, deep learning, and big data
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Software Engineer specializing in enterprise AI/LLM integration and full-stack systems
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems
Senior AI/ML & Data Scientist specializing in NLP, knowledge graphs, and semantic search
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
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.”
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.”
Alex M Lee
Staff Full-Stack Engineer specializing in Healthcare AI and FinTech payments
“Backend/data engineer from Oscar Health specializing in healthcare claims systems on AWS. Built HIPAA-compliant real-time services (FastAPI/Postgres/Kafka on EKS) and serverless ingestion pipelines, and led modernization of a legacy SAS claims pricing system to Python/Spark with rigorous parity validation. Demonstrated measurable impact with high uptime/low latency services and major Snowflake performance and cost reductions.”
Ankit Chaudhary
Senior Data Engineer specializing in cloud data platforms and analytics pipelines
“Data engineer focused on building and operating reliable Airflow-orchestrated pipelines into BigQuery, including daily billing ingestion (~1GB/day) and ad platform (Facebook/LinkedIn) data collection. Implemented end-to-end data quality checks plus org-wide incident response automation integrating PagerDuty, Slack, and Jira, and has experience executing large backfills (4–5TB) via time-window batching.”
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems