Spark SQL, Pyspark, Databricks, Databricks SQL, Governance standards, Historical backfill, AI-assisted tools, MLflow, Cutover automation, Delta Live Tables, Schema conversion, Unity Catalog, Delta Lake, Data quality frameworks, Databricks Workflows, Dual-run validation

snowflake , Python, Data Vault 2.0

Azure Functions, SQL Server, T-sql, Microsoft Azure, Azure DevOps, GitHub Actions, Service Bus, Microsoft Entra ID, Azure App Services

snowflake , Microservices, Sql, Gcp, Docker, Azure, Python, Kubernetes, AWS, LangChain, embeddings, RAG function tool calling orchestration, Vector databases, retrieval evaluation, CI CD, prompt engineering, LangGraph, LLM agentic solutions, dbt, Cloud-native architecture, LlamaIndex, observability

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, vector databases, MLflow, prompt engineering, Agentic AI systems, MLOps practices, MCP Model Context Protocol, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

platform development , Integration Architecture, Data Migration Methodology, Data Quality Reconciliation, Platform Security Data Governance, ETL Data Integration Tools, Data Architecture Modelling, Salesforce Data Cloud, Consent Compliance Data Architecture, Salesforce Platform API Development, Identity Resolution Design

snowflake , Data Governance, Sql, Data Warehousing, Python, Azure, Gcp, Data Modelling, dbt, Data Mesh

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, MLflow, vector databases, prompt engineering, Agentic AI systems, MCP Model Context Protocol, MLOps practices, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

data engineering , snowflake , Streaming, Bdc, Data Modeling, Databricks, Azure, Solution Architecture, SAP Datasphere, Data engineering patterns, Metadata lineage, Enterprise Data Architecture, Microsoft Fabric, Data quality governance