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Vetted Data Engineers
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud data platforms and cybersecurity analytics
Senior Data Engineer specializing in scalable pipelines and streaming data platforms
Mid-level Data Engineer specializing in streaming pipelines and cloud data platforms
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Mid-level Data Engineer specializing in real-time analytics and FinTech data platforms
Mid-Level AI & Full-Stack Engineer specializing in data engineering and real-time streaming
Senior AI & Cloud Engineer specializing in GenAI and data platforms
Senior Data Scientist / ML Engineer specializing in NLP and Generative AI
Mid-level Data Engineer specializing in cloud data platforms and FinTech analytics
Senior Data Engineer specializing in AWS serverless and real-time data platforms
Senior Data Engineer specializing in cloud data pipelines and big data platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming platforms
Mid-level Data Engineer specializing in cloud lakehouse pipelines and analytics datasets
Mid-level Data Engineer specializing in Azure data platforms and near real-time pipelines
Senior AI/ML Engineer specializing in computer vision, GenAI, and 3D spatial analytics
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Senior Data Engineer specializing in multi-cloud data platforms and real-time analytics
Mid-level Data Engineer specializing in financial data engineering and scalable pipelines
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).”
Mounika Nadendla
Senior Data Engineer specializing in cloud data platforms and real-time streaming
“Data engineer focused on building reliable, production-grade data systems end-to-end: batch and real-time pipelines (Airflow/Kafka/Spark) with strong data quality, monitoring/alerting, and incident response. Has experience integrating external API/web data with retries, throttling, and schema-change handling, and serving curated datasets to analytics (Power BI) and backend consumers with performance optimizations like Redis caching.”