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Vetted Amazon Athena Professionals
Pre-screened and vetted.
Senior FP&A Analyst and Data Scientist specializing in ML, automation, and analytics
Mid-level Software Engineer specializing in backend systems, data pipelines, and GenAI automation
Mid-level Data Engineer specializing in cloud data pipelines and real-time streaming
Mid-level Data Scientist specializing in geospatial computer vision and ML
Mid-level Software Engineer specializing in cloud-native systems and ML/Generative AI automation
Mid-level Data Engineer specializing in cloud data platforms for financial services and healthcare
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Mid-level Data Engineer specializing in streaming, lakehouse platforms, and LLM-driven data workflows
Mid-level Data Scientist specializing in customer analytics, ML pipelines, and churn forecasting
Senior Software & Data Engineer specializing in cloud platforms and streaming data
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Senior Software Engineer specializing in data platforms and FinTech/SaaS systems
JYOTHI N
Senior Data Scientist specializing in analytics, experimentation, and BI on AWS
“Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.”
Matthew Mullins
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”
Swastik Chowdhury
Mid-level Data Engineer specializing in cloud data platforms and real-time streaming
“Worked on onboarding a Middle East logistics client processing thousands of invoices/month, building a production-ready pipeline that routes known vendor PDFs to deterministic regex parsers via Tax ID matching and falls back to LlamaParse for unknown layouts. Added financial consistency validation plus human-in-the-loop review and logging/metrics to continuously reduce LLM usage and improve template coverage.”
Murali Krishna Vempalli
Mid-level Data Analyst specializing in retention, churn, and customer analytics
“Analytics professional with experience across healthcare and fintech, including building SQL/Python data pipelines at Optum and owning a fraud detection initiative at Razorpay. Stands out for combining messy-data cleanup, reproducible analytics workflows, and stakeholder-driven metric design, with a reported 25% improvement in fraud detection while keeping false positives under control.”
Hyndhavi Sibbala
Senior Data Engineer specializing in multi-cloud data platforms and streaming pipelines
“Data platform engineer with hands-on ownership of high-volume financial data pipelines (millions of transactions/day) on Azure (ADF, Databricks, Delta Lake, Synapse), emphasizing schema-drift protection and automated data-quality gates. Also built resilient web scraping pipelines with anti-bot and backfill strategies, and shipped a versioned FastAPI + Redis data API with autoscaling, testing, and CI/CD via GitHub Actions.”
Intern Software Engineer specializing in cloud data platforms and full-stack systems
Executive engineering leader specializing in FinTech, payments, and cloud platforms
Director-level software engineering leader specializing in cloud, AI, and platform engineering
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS