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Vetted Amazon Redshift Professionals
Pre-screened and vetted.
Mid-level Backend/Data Engineer specializing in AWS data pipelines and scalable services
Director-level Data Engineering Leader specializing in AI/LLM platforms and real-time data systems
Mid-level Machine Learning Engineer specializing in MLOps, RAG, and real-time personalization
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and real-time recommendation systems
Senior Backend/Platform Software Engineer specializing in data systems and API integrations
Principal AI Architect specializing in GenAI, agentic systems, and RAG
Executive Software Engineering Leader specializing in digital transformation and omnichannel commerce
Senior Cloud Solutions Engineer specializing in AWS Analytics and GenAI
Senior Data & ML Engineer specializing in big data platforms and marketing/ads ML
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Senior Staff Full-Stack Engineer specializing in AI copilots and cloud platforms
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Staff AI & Data Engineer specializing in LLM systems and real-time data platforms
Executive Engineering Leader specializing in E-commerce, SaaS, and EdTech platforms
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Bhagya Sunkara
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
Varmin Singh
Intern Software Engineer specializing in data engineering and LLM/RAG systems
“Built and productionized enterprise LLM/RAG systems, including a Boeing internal solution that gave 400+ program managers conversational access to 1M+ rows of schedule data, with strong emphasis on governance, reliability, and reducing hallucinations in tabular domains. Also has experience running developer-focused workshops (UC Berkeley computer architecture) and partnering with customer-facing stakeholders to drive adoption of a compliance-sensitive NLP product (SEC-aligned) at Penserra.”
Madhusmita Oke
Mid-Level Software Engineer specializing in cloud-native distributed systems
“Gameplay engineer with hands-on ownership of a real-time C++ combat ability system, including diagnosing and eliminating large-scale combat frame spikes by refactoring hit detection to an event-driven, animation-notify approach (cut collision checks ~80%). Also implemented UE5 networked abilities (dash) with client-side prediction and server-authoritative reconciliation, plus projectile ballistics validated through debug spline visualizations and unit tests.”