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Vetted Amazon Kinesis Professionals
Pre-screened and vetted.
Prashant Singh
Mid-level Backend/Platform Engineer specializing in data pipelines, reliability, and AI-assisted ingestion
“Backend engineer who built and scaled a blockchain-based e-voting platform at early-stage startup Elemential Labs, balancing decentralization with real-world operability by centralizing control-plane components while keeping the ledger immutable. Has hands-on experience migrating high-throughput ingestion from Kafka to AWS Kinesis with parallel cutover, strengthening data integrity and read-after-write consistency (Elasticsearch), and hardening pipelines against silent data-quality failures via anomaly detection and self-healing automation.”
Mike Klein
Executive Engineering Leader specializing in platform, DX, and customer growth systems
“Builder/technical leader who was brought into Finicity to turn a credit-improvement concept into a viable product—architected, staffed, and launched what became Experian Boost. Delivered a major North American product launch in ~6 months, scaling to ~50,000 new users per day at launch and solving complex ML classification and distributed processing/order-of-operations challenges on AWS.”
Junior Data Infrastructure Software Engineer specializing in distributed pipelines and AI extraction
Junior Full-Stack Engineer specializing in blockchain, cloud, and data platforms
Mid-level Full-Stack Developer specializing in enterprise banking applications
Director-level data platform executive specializing in IoT, AI/ML, and lakehouse platforms
Director-level IT enterprise architect specializing in strategy, modernization, and MarTech
Senior Full-Stack Java Engineer specializing in cloud-native microservices and GenAI
Director-level Engineering Manager specializing in cloud data platforms and data engineering
Mid-level Data Scientist specializing in applied AI, MLOps, and production LLM systems
Senior Data Engineer specializing in cloud-scale ETL and healthcare analytics
Senior Full-Stack Java Engineer specializing in AWS cloud-native microservices
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-level Data Engineer specializing in cloud ETL/ELT and streaming pipelines
Director-level Technology Executive specializing in enterprise modernization, AI, SaaS, and cloud
Mid-level Software Engineer specializing in backend systems and real-time FinTech data pipelines
Senior Data Engineer specializing in scalable analytics and financial data platforms
Senior Full-Stack Engineer specializing in Python, ML pipelines, and scalable cloud platforms
Principal Software Developer & Solutions Architect specializing in cloud-native enterprise platforms
Mid-Level Full-Stack & AI Engineer specializing in scalable cloud and GenAI systems