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Vetted Azure Data Factory Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Mid-level Data Scientist specializing in marketing analytics and scalable data platforms
VP Data Engineer specializing in AI-driven analytics platforms for investment management
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Mid-level Data Engineer specializing in streaming and cloud lakehouse platforms
Mid-level Data Engineer specializing in cloud-native ETL and data warehousing
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Mid-level Software Developer specializing in backend cloud and API platforms
Chiranth Kumar
Mid-level Data Engineer specializing in cloud data platforms and FinTech analytics
“Solutions architect/technical consultant with experience across Intuit, Deloitte, and CodeNest Solutions, focused on enterprise data modernization, AI adoption, and real-time streaming in B2B environments. Particularly strong in regulated financial use cases, where they combine hands-on POC building, security/compliance diligence, and modern data stack expertise to help clients modernize legacy systems and close complex enterprise deals.”
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.”
David Kidwell
Senior AI/ML Data Scientist specializing in NLP, computer vision, and MLOps
“Applied LLMs and a graph-RAG architecture in Neo4j to automate an accounting firm's cross-checking of transactional books against tax regulations, indexing 1,000+ pages into a knowledge graph with vector search. Combines agentic LLM workflows with classical NER (Hugging Face/NLTK) and validates using expert-labeled held-out data plus precision/recall and measured accountant time savings after deployment.”
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.”
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Senior Data Engineer specializing in cloud data platforms and analytics
Mid-Level Full-Stack Software Engineer specializing in microservices and cloud
Mid-level Software Engineer specializing in backend systems and cloud-native AI platforms
Mid-level Machine Learning & Generative AI Engineer specializing in enterprise RAG and MLOps
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Mid-level Full-Stack Software Engineer specializing in cloud-native data platforms
Junior Data Scientist specializing in causal inference, NLP/LLMs, and forecasting
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG for financial services