Kubernetes), GCP), cloud platforms (AWS, containerization (Docker, Oauth, microservice architecture, MLops, Azure, Generative AI, model fine-tuning, semantic search optimization, vector database indexing, AI engineering, prompt engineering, rbac, RESTful API design, CI/CD, RAG pipelines, data privacy standards, serverless patterns

Enterprise Data AI Architecture, Data Engineering Data Platforms Lakehouse, Data Integration Governance, Executive Presentation Client Consulting, Enterprise Architecture TOGAF, Cloud Data AI platforms, Proposal Development Presales, Solution Design Technical Estimation, AI ML and modern AI solutions

snowflake , Power Bi, Apache Spark, Azure Databricks, Data Modeling, Azure Synapse, Data Governance, Apache Iceberg, Parquet, Google BigQuery, Azure OpenAI, Azure AI Foundry, Microsoft Purview, lakehouse architecture, AWS data services, Delta, dbt, Microsoft Fabric, RAG LLMOps patterns

Spark, Pyspark, Sql, Devops, MLops, Containers, Python, Entra ID, AI Foundry, Generative AI production, Delta Live Tables, Azure OpenAI, CI CD, Monitoring, Unity Catalog, Azure Microsoft Data Factory, RAG vector stores, Lakeflow, ADLS, Delta Lake, Databricks lakehouse architecture, infrastructure as code