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Vetted Amazon Redshift Professionals
Pre-screened and vetted.
Mid-level Business Intelligence Engineer specializing in AI-powered analytics
Senior Data Scientist specializing in ML engineering and cloud analytics
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Senior DevOps/Site Reliability Engineer specializing in multi-cloud Kubernetes platforms
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
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.”
Francis Amalraj
Executive engineering leader specializing in SaaS, cloud platforms, and AI-assisted development
“Senior engineering executive with 20+ years combining architecture depth and org leadership, including teams up to 125 people across software, QA, hardware, and embedded engineering. Notable wins include rebuilding a logistics platform's data layer to sub-second latency with 250% higher throughput and driving 3-5x delivery speed through AI-assisted engineering workflows.”
Senior Software Engineer specializing in backend APIs and cloud-native services
Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration
Director-level Development Manager specializing in AWS cloud and DevOps
Senior Data Engineer specializing in forecasting, analytics platforms, and BI
Mid-level Business Analyst specializing in data analytics and process improvement
Mid-level Machine Learning Engineer specializing in MLOps and applied data science
Executive Technology Leader (CTO/CIO) specializing in AI, cybersecurity, and SaaS
Mid-level Software Engineer specializing in full-stack systems and LLM evaluation