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Vetted Amazon Redshift Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Principal Data Scientist specializing in Generative AI and security analytics
Senior Backend Software Engineer specializing in distributed commerce and billing systems
Staff Software Engineer specializing in cloud-native healthcare and payments platforms
Executive Technology & Data Leader specializing in AI, cloud modernization, and digital strategy
Senior Data Scientist / ML Engineer specializing in LLMs, generative AI, and MLOps
Executive Technology Leader specializing in SaaS platforms and Generative AI
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Director-level engineering leader specializing in cloud platforms, AI/ML, and SaaS
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Software Engineer specializing in Python, cloud infrastructure, and AI-powered search
Mid-level Software Engineer specializing in full-stack and distributed backend systems
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines
Mid-level Applied AI Engineer specializing in LLMs, MLOps, and real-time AI systems
Principal business value leader specializing in AI, data, and cloud transformation
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.”
Jayashree Raman
Director-level Data Architecture & Governance leader specializing in cloud analytics platforms
“Technology/architecture leader with Accenture experience delivering data- and AI/ML-driven products, including a legal contract search solution and customer sales analytics for AWS. Known for scaling distributed teams (onshore/offshore), making pragmatic architecture decisions, and solving hard data problems (proprietary sources, data quality) while implementing scalable integrations like Redshift-to-Salesforce via parallelized pipelines.”
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.”
Junior Software Development Engineer specializing in AI agents and personalization
Mid-level Software Engineer specializing in Python backend and ML infrastructure
Senior Full-Stack Software Engineer specializing in cloud-native distributed systems
Staff Software Engineer specializing in real-time data pipelines and full-stack platforms