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Vetted Azure Data Factory Professionals
Pre-screened and vetted.
Lakshmi Sridevi
Mid-level Software Engineer specializing in cloud platforms, SRE, and ML-powered engineering tools
“Platform-focused engineer/technical program leader working in silicon/wafer validation environments, with hands-on experience securing access to sensitive test results and engineering tooling. Has implemented RBAC/least-privilege controls with Azure Entra ID, Key Vault, PAM and integrated Checkmarx into dev workflows, while also deploying ML services on AKS using Bicep/Helm/Docker and Azure DevOps CI/CD with strong monitoring and incident response practices.”
Sudhan Louis
Director of Enterprise Architecture specializing in digital transformation, AI, and API strategy
“Hands-on architect/technology leader who builds prototypes (including Agentic AI wellness/biomarkers) and then scales teams to execute. Led a ~$400M global e-commerce transformation spanning 95 countries with active-active US/EU multi-region resilience, microservices/MFE (MACH), and strong security patterns (service mesh + API gateway + Ping Identity), plus modern data foundations (customer hub/MDM/Snowflake, data fabric/medallion).”
Pandari G
Mid-level Machine Learning Engineer specializing in Generative AI and RAG systems
“GenAI/LLM engineer with production deployments in both fintech and retail: built an AI-powered mortgage document analysis/automated underwriting pipeline at Fannie Mae (OCR + custom LLM) cutting underwriting review from 3–4 hours to under an hour with privacy-by-design controls. Also helped build Sephora’s GenAI product advisory bot using LangChain-orchestrated RAG (Azure GPT-4, Azure AI Search, MySQL HeatWave vector search), focusing on grounding, evaluation, and compliance-aware architecture choices.”
“Built and productionized a secure internal RAG-based AI assistant (LangChain/FastAPI/FAISS on GCP), tackling real-world issues like latency, retrieval speed, and hallucinations—delivering 25% faster retrieval and 99.9% uptime. Also implemented scalable, reliable ML retraining orchestration with AWS Step Functions/SageMaker/Lambda and partners closely with compliance analysts to iteratively refine prompts and outputs to meet governance standards.”
Mid-level Full-Stack Developer specializing in cloud-native Java and modern web apps
Mid-level AI/ML Engineer specializing in fraud detection and Generative AI
Mid-Level Full-Stack Java Developer specializing in cloud microservices and compliance platforms
Senior IAM Developer specializing in SailPoint IdentityIQ/IdentityNow and enterprise SSO
Mid-level AI/ML Engineer specializing in cloud MLOps and real-time ML pipelines
Mid-level Data Scientist specializing in LLMs, RAG systems, and production MLOps
Mid-level Data Scientist specializing in applied AI, MLOps, and production LLM systems
Senior Data Engineer specializing in cloud-scale ETL and healthcare analytics
Mid-level AI Data Engineer specializing in ML pipelines, NLP/LLMs, and cloud data engineering
Executive Technology Leader (CTO/CIO/VP Engineering) specializing in cloud, data platforms, and telecom
Executive Engineering Leader specializing in cloud architecture, security, and enterprise AI
Executive Data & Analytics Leader specializing in enterprise platforms, AI/ML, and healthcare
Intern Data Scientist specializing in ML, MLOps, and Generative AI analytics
Senior Full-Stack/Data Engineer specializing in cloud data platforms and big data pipelines
Mid-level Data Scientist / Data Engineer specializing in Azure ML and scalable data pipelines
Mid-level Data Scientist specializing in ML, NLP, and MLOps for finance and manufacturing
Mid-level Data Engineer specializing in cloud ETL, migrations, and real-time analytics