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Vetted Data Engineers
Pre-screened and vetted.
Director-level Data Platform Engineering Leader specializing in data governance and quality
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
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.”
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.”
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Rom Manzano
Executive technical founder and full-stack engineer specializing in AI, SaaS, and FinTech
“Engineer coming out of a venture studio as it winds down, now seeking another zero-to-one environment with strong studio support and go-to-market playbooks. They show a thoughtful founder mindset centered on rapid shipping, design-partner validation, lean execution, and testing whether users will actually pay for a workflow-specific solution.”
Thuc Duong
Senior Data Engineer specializing in AI-driven GTM analytics and LLM evaluation
“Data/analytics engineer who stood up foundational pipelines and services at Meta for the Ray-Ban Meta launch—building a retailer sales ingestion system (S3/Hive) with rigorous DQ checks, 1-day SLAs, and dimensional rollups used by GTM to track sales trends. Also built a modular multi-retailer web-scraping system for out-of-stock alerts and shipped internal GraphQL APIs and an n8n-like workflow builder using serverless (AWS Lambda) with strong testing and observability practices.”
Mid-level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Software Engineer specializing in AWS backend systems and LLM infrastructure
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Senior Data Engineer specializing in cloud data platforms and real-time analytics
Mid-level Data Engineer specializing in big data platforms and analytics infrastructure
Jeremiah Medina
Senior AI/ML Engineer specializing in LLMs, RAG, and cloud-native MLOps
“Built and owned a real-time clinical AI assistant at Andor Health, taking it from prototype through deployment, monitoring, and iterative improvement. Brings strong healthcare-focused GenAI experience across RAG, hybrid retrieval, LoRA fine-tuning, and production Python services, with measurable gains in accuracy, speed, and reliability.”