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Vetted Amazon Athena Professionals
Pre-screened and vetted.
Sakshi Dinesh Deore
Mid-level Software Engineer specializing in AWS, DevOps automation, and data platforms
“Engineer with Securonix experience deploying and operating production microservices and real-time data-processing systems at high throughput. Led AWS infrastructure, CI/CD, monitoring, and customer-driven customization for a threat-report classification solution, including rule adjustments and model retraining based on live client feedback.”
Sai Lakshmi Charitaa Andey
Mid-level Business Data Analyst specializing in banking analytics and BI
“Analytics-focused candidate with hands-on experience building SQL reporting tables from messy transactional and master data, plus Python workflows that automate monthly analysis and data checks. They appear strongest in KPI/reporting ownership, metric standardization, and stakeholder alignment, with examples of improving reporting consistency, surfacing issues earlier, and reducing manual reconciliation effort.”
Santhosh padamatinti
Senior Engineering Manager specializing in data platforms, microservices, and enterprise GTM analytics
“Engineering leader (player-coach) recently at Autodesk driving a major sales-motion transformation spanning account hierarchy, commissions/quotas, and downstream financial/sales forecasting impacts. Led cross-functional design with enterprise architects and shipped the end-to-end release, using POCs and Anaplan what-if modeling to validate a risky hierarchy change while coordinating delivery across India/Singapore teams and instituting structured Jira-based tech debt/support tracking and automation (dbt, GitHub Copilot).”
Moh Abdullah
Senior AI/ML Engineer specializing in Generative AI, LLMs, and production ML systems
“ML/AI engineer with hands-on ownership of both classical ML and GenAI systems in production. They built an end-to-end churn prediction service on AWS and also shipped RAG-based document search/summarization features, with clear experience in monitoring, hallucination reduction, cost/latency optimization, and creating shared Python/LLM infrastructure used across teams.”
Mid-level Data Analyst specializing in healthcare, e-commerce, and cloud analytics
Director-level Software Engineering Leader specializing in cloud-native data platforms and ad-tech
Executive engineering and product leader specializing in Healthcare AI and cloud platforms
Junior Software Engineer specializing in AI platforms and backend systems
Senior Full-Stack Engineer specializing in cloud platforms and AI automation
Mid-Level Full-Stack Software Development Engineer specializing in AWS data pipelines
Senior Data Scientist specializing in LLM engineering and enterprise predictive analytics
Mid-level Full-Stack Java Developer specializing in FinTech trading platforms
Senior Data Engineer specializing in AWS big data and streaming pipelines
Senior CRM & Omnichannel Marketing Specialist specializing in Adobe Campaign and EU market delivery
Mid-level AI/ML Engineer specializing in quantitative finance and LLM-based NLP
Mid-level Data Engineer specializing in cloud-native ETL, Spark, and real-time analytics
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Senior Business Data Analyst specializing in financial services customer analytics
Mid-level AI/ML Engineer specializing in LLM agents, RAG, and cloud-native ML systems
Senior Generative AI Engineer specializing in LLM platforms, RAG, and MLOps
Mid-level AI/ML Engineer specializing in cloud MLOps and agentic RAG systems