.png){kind=logo}
Vetted Amazon Kinesis Professionals
Pre-screened and vetted.
Mid-Level Software Development Engineer specializing in AWS cloud, data pipelines, and MLOps
Mid-level Machine Learning Engineer specializing in fraud prevention and LLM systems
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Senior Data Engineer specializing in multi-cloud data platforms and pipelines
Technology Executive specializing in AI-native engineering and cybersecurity governance
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Executive Data & AI Leader specializing in enterprise data platforms and multi-cloud transformation
Executive Engineering Leader specializing in AI automation and cloud platforms
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Shuju Sun
Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment
“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”
Feras Alsaiari
Senior Software Engineer specializing in AWS data platforms and event-driven systems
“Capital One engineer leading the architecture and delivery of a large-scale AWS Glue/Spark/Delta Lake batch messaging pipeline that decoupled batch from real-time flows, added multi-region failover and automated retries, and delivered ~40% AWS cost savings with ~3x performance gains. Currently building an LLM-powered Slack bot using RAG to automate message investigations by querying CloudWatch, Snowflake, and internal documentation with privacy-aware masking of NPI/PII.”
Executive Technology Leader specializing in AI, Data Platforms, and FinTech
Mid-Level Software Engineer specializing in FinTech, treasury systems, and compliance platforms
Mid-Level Software Engineer specializing in cloud-native microservices and real-time ML pipelines
Mid-level Backend Software Engineer specializing in AWS microservices and distributed systems
Mid-level Software Engineer specializing in FinTech payments and compliance systems
Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms
Senior Data Engineer specializing in cloud data platforms and scalable ETL pipelines
Mid-level Full-Stack Java Developer specializing in cloud-native microservices