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Vetted ELT (Extract, Load, Transform) Professionals
Pre-screened and vetted.
Senior AI & Backend Engineer specializing in cloud-native LLM and data platforms
Mid-level Data Engineer specializing in real-time streaming pipelines and healthcare data
Mid-level Data Engineer specializing in reliable data pipelines, metadata enrichment, and APIs
Mid-level Data Engineer specializing in AWS data platforms and streaming pipelines
Senior Data Engineer specializing in real-time platforms and GenAI analytics
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and computer vision
Senior Full-Stack Engineer specializing in cloud-native microservices, data engineering, and GenAI
Senior Data Engineer specializing in cloud data platforms and streaming analytics
Mid-level Data Engineer specializing in cloud ETL and healthcare data platforms
Mid-level Data Engineer specializing in real-time streaming and cloud data platforms
Mid-level AI/ML Engineer specializing in cloud ML, NLP/LLMs, and real-time data pipelines
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Mid-Level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid-level Software Engineer specializing in AI and cloud data platforms
Mid-level Data Engineer specializing in cloud lakehouse platforms and ETL/ELT
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Bharath Reddy Nallu
Mid-level Machine Learning Engineer specializing in NLP and scalable MLOps
“Data/ML engineer in financial services (Northern Trust) who built a production RAG-based LLM system to connect structured transaction/portfolio data with unstructured market and internal documents for risk teams. Strong in end-to-end pipelines (AWS Glue/Airflow/PySpark), entity resolution, and taking models from prototype to reliable daily production with performance tuning (LoRA + TensorRT) and monitoring.”
Michael Forster
Senior Data Engineer specializing in ETL/ELT pipelines and data integration platforms
“Data engineer/software engineer who led an end-to-end ETL/ELT pipeline at Pearson processing millions of rows of student data nightly, including client-side data prep/validation, SFTP/API ingestion, staging-based SQL validation/transforms, and production loading. Built reliability features like configurable per-client validation thresholds, detailed reporting, concurrency throttling via a custom queue, and multi-source merge/backfill logic to keep nightly loads running even when sources fail.”