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Vetted Amazon Kinesis Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in NLP and MLOps for regulated industries
Mid-level Full-Stack Developer specializing in FinTech microservices and cloud data pipelines
Mid-level Data Scientist specializing in NLP, time-series forecasting, and GenAI
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Senior Full-Stack Engineer specializing in cloud-native microservices and AI solutions
Senior Cloud Engineer specializing in AWS & Azure infrastructure, security, and automation
Mid-level Data Engineer specializing in lakehouse architectures and cloud ELT
Senior Cloud & DevOps Engineer specializing in AWS, Kubernetes, IaC, and cloud security
Senior Data Engineer specializing in multi-cloud lakehouse architectures and privacy/AI governance
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Senior Machine Learning Engineer specializing in GenAI, LLMs, and MLOps
Principal AI Architect specializing in enterprise GenAI transformation
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Sri Niyati Kompella
Senior Data Engineer specializing in cloud data platforms and ML pipelines
“Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.”
Chandan Chalumuri
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
“Data engineering / ML practitioner with experience at MetLife building transformer-based sentiment analysis over large unstructured datasets and productionizing pipelines with Airflow/PySpark/Hadoop (reported 52% efficiency gain). Also implemented embedding-based semantic search using Pinecone/Weaviate to improve retrieval relevance and enable RAG for customer support and document matching use cases.”
Alex Guzman
Principal Software Engineer specializing in cloud infrastructure and identity systems
“Senior backend-leaning engineer with experience spanning an 8-person early-stage startup and production microservices environments. They helped deliver an MVP for a fintech/charitable donations product by building a resilient abstraction API across multiple rewards vendors, and more recently maintained Go services at scale with Kubernetes autoscaling for workloads reaching roughly 1 million requests per day.”
Manita Manjari Das
Senior QA Automation Engineer specializing in API and microservices testing
“QA automation engineer who owned an end-to-end automated regression suite for a PlayStation digital store flow (login through checkout/payment), building a hybrid POM/data-driven framework from scratch with Selenium/TestNG/Cucumber and also using Playwright/TypeScript and Cypress. Integrated the suite into Jenkins CI/CD with nightly runs and reporting, improved coverage (happy + negative paths), and reduced release risk by catching critical issues like session timeout and transaction/payment defects before production.”