propensity modelling , snowflake , Data Architecture, Personalization, Databricks, experiment tracking, model versioning, observability infrastructure, data contracts, ML lifecycle governance, ML CI/CD, NLQ design, enterprise AI observability, agentic workflows, LLM architecture, RAG, intelligent automation, Python-based AI engineering

Backup, cloud security, Vulnerability Management, virtualization, Networking, Storage, DevSecOps, Iam, Microsoft Azure, Containers, automation, Kubernetes, AWS, Infrastructure as Code, SRE practices, observability

Azure ML, MLops, Python, LangChain, Generative AI, LLMs, LLMOps, Model Fine-tuning, Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangGraph, Agentic AI, RAG, AI Search

Advanced Analytics, Power Bi, Tableau, Data Architecture, Gcp, Predictive Modeling, Azure, AWS, Cloud data platforms, Business intelligence, Business Retail Analytics, Data Strategy, Leadership, data infrastructure, Stakeholder Collaboration, AI ML model deployment

Java, Node.js, Azure, AWS, Oracle Public Cloud, Microservices architecture, Containers technologies

Cloud platforms (AWS/Azure/Google Cloud), Cybersecurity, Sdlc, Application Development, Technology audit, itgc

Sql, Containers, Deep Learning, Tensorflow, Hadoop, Tableau, Kafka, MLops, Data Science, Pytorch, Gcp, Natural Language Processing, Apache Spark, Machine Learning, Cloud Computing, AWS, Powerbi, Python, Kubernetes, Azure, Docker, Nlp, Llm, Ai, GenAI, CI CD, Statistics, Scikit-learn, R

data engineering , Ml, Data Science, Cloud Technologies, Gcp, Azure, AWS, Generative AI, Machine Learning Techniques, Statistical Modeling, Ai

snowflake , Alteryx, Tableau, Informatica, ELT, Data Lake, Python, AWS, BigQuery, Power Bi, Collibra, Redshift, Sql, Azure Data Factory, Gcp, Qlik, Data Governance, Databricks, Azure, Etl, Purview, Alation, enterprise common data models, Synapse, lakehouse design, dbt

.NET, Agile Methodologies, AWS, Microsoft ecosystem, Scrum frameworks, cloud platforms