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Vetted Data Engineers in California
Pre-screened and vetted in California.
Senior Data Engineer specializing in AWS big data and streaming pipelines
Senior Software & Data Engineer specializing in cloud platforms and streaming data
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Senior Software Engineer specializing in AWS cloud infrastructure and microservices
Senior Data Scientist specializing in LLMs, NLP, and anomaly detection
Edwin Tse
Junior Data Engineer specializing in BI, governed metrics, and workflow automation
“Built and shipped LLM/OCR/NLP-driven document-intelligence workflows in operational environments (EnvoyX and UPS), emphasizing production readiness via explicit state-machine orchestration, confidence gates, and human-in-the-loop review. Demonstrated strong business impact in customs brokerage/document ingestion: 50% fewer customs rejects, 30% higher throughput, SLA adherence improved from 71% to 96%, and platform reliability reaching 99.6% with 78% fewer bad-data incidents.”
Ajay Madhusudhan Thumala
Junior Software Engineer specializing in data engineering and LLM applications
“Computer science engineer and master’s graduate who independently built a mechatronics-heavy capstone prototype: a smartphone concept for deafblind users using micro-actuator arrays for braille reading. Also has platform engineering experience at Quantiphi, deploying webhooks to Kubernetes and implementing GitOps-based CI/CD using AWS CodeCommit/CodeBuild and ECR.”
Yinghai Yu
Mid-level Data Engineer specializing in cloud data platforms and AI/ML pipelines
“Data-engineering-oriented candidate with hands-on experience building an agentic AI product and operational automation workflows. They described automating inventory-to-ERP discrepancy reconciliation with anomaly detection and daily reporting, and also have practical scraping/automation experience dealing with Cloudflare-protected sites using Selenium and Puppeteer.”
Principal AI/ML Architect & Senior Data Scientist specializing in financial fraud and risk
Mid-level Data Engineer specializing in ML, OCR, and cloud-native pipelines
Mid-level Data Engineer specializing in ML-driven pipelines and cloud microservices
Principal Data Engineer specializing in petabyte-scale Spark pipelines on GCP
Mid-level AI/ML Engineer specializing in MLOps, real-time data platforms, and generative AI
Intern Data Analyst / Data Developer specializing in retail analytics and healthcare data science
Senior Data Engineer specializing in multi-cloud data pipelines and lakehouse analytics
Junior Data & Analytics Analyst specializing in data engineering and customer insights
Mid-Level AI & Full-Stack Engineer specializing in data engineering and real-time streaming
Bryan Holland
Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems
“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”
David Wisdom
Mid-level Data & Machine Learning Engineer specializing in production ML and data platforms
“Built and deployed a production LLM system that scraped Google Maps menu photos, extracted structured prices via OpenAI, and cross-validated them against website-scraped data to automate data-quality verification at scale (replacing costly manual contractor checks). Demonstrates strong reliability instincts—precision-first prompting, output gating with image-quality metadata, and fuzzy matching/RAG techniques—plus solid orchestration (Dagster/Airflow) and observability (Sentry, Prometheus/Grafana).”