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Vetted Databricks Professionals
Pre-screened and vetted.
Ashrita Mishra
Mid-level Data Analyst specializing in analytics, ETL, and cloud data platforms
“Data analyst with 4 years of experience spanning banking and retail/marketing analytics. Has hands-on experience building churn analytics pipelines in SQL and Python, optimizing large-query performance, and turning stakeholder-aligned metrics into recurring dashboards and business actions.”
YaswithaSai Atluri
Mid-level Data Analyst specializing in BI, analytics automation, and cloud data platforms
“Analytics professional with hands-on experience building SQL/Python pipelines, customer ID mapping logic, and self-serve BI dashboards across marketing/CRM and regulated aviation reporting environments. Particularly strong in turning messy multi-source data into trusted reporting assets, with repeated claims of major efficiency gains, faster decision-making, and high-confidence stakeholder adoption.”
Lokesh Jain
Senior AI/ML Engineer specializing in supply chain and healthcare systems
“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”
Arya Thorat
Mid-level Software Engineer specializing in cloud-native distributed systems
“Full-stack/backend engineer with deep experience building real-time fraud and credit-risk systems. Shipped an event-driven fraud monitoring platform (Kafka→MongoDB/Redis→WebSockets) delivering sub-200ms updates to 3000+ concurrent internal users, and built a Java/Spring Boot credit risk decisioning API that improved turnaround time by 30–40%. Strong AWS production operations (ECS Fargate/RDS/Redis) with proven incident response and performance tuning.”
Mid-level Data Scientist specializing in LLMs, fraud detection, and healthcare analytics
Junior Software Engineer specializing in machine learning and data engineering
Senior Software Engineer specializing in distributed systems, AI, and cloud solutions
Intern Software Engineer specializing in full-stack, data engineering, and ML pipelines
Mid-level Data Scientist specializing in NLP, recommender systems, and cloud ML
Mid-level Software Engineer specializing in AI, LLM systems, and backend platforms
Mid-level Data/Platform Engineer specializing in healthcare insurance analytics and API-first AI systems
Mid-level Machine Learning Engineer specializing in healthcare analytics and MLOps
Junior Software Developer specializing in full-stack web and cloud systems
Mid-level Machine Learning Engineer specializing in agentic AI, computer vision, and NLP
Senior Data & ML Engineer specializing in cloud data platforms and real-time analytics
Mid-Level Full-Stack & AI Engineer specializing in GenAI and cloud platforms
Mid-level Data Engineer specializing in scalable real-time data platforms
Executive engineering leader specializing in AI infrastructure and enterprise SaaS
Junior Software Engineer specializing in Java microservices and search platforms
Senior Full-Stack Engineer specializing in cloud-native platforms and data engineering