data engineering , Machine Learning, Natural Language Processing, Big Data Technologies, Deep Learning, Tensorflow, Gcp, Pytorch, MLops, Databricks, Azure, Python, AWS, LangChain, Prompt engineering, LLMs, LLMOps, LangGraph, R, MLFlow, Agentic flows

snowflake , Ml, BigQuery, Redshift, Sql, Pandas, Javascript, Databricks, Python, Salesforce, Ai, prompt engineering, agent lifecycle management, Agentforce, Data Cloud, R, D360, Jupyter, cross-platform integrations, MuleSoft APIs

Python, CI CD and Infrastructure as Code, AWS SageMaker, Model monitoring and governance tools, Amazon Bedrock

Microservices, MLops, Python, LLM integration, AI monitoring, scalable AI architectures, ML model lifecycle, ML engineering, Cloud-native systems, Governance, API architecture, AI engineering, responsible AI

snowflake , Sql, Databricks, Pandas, BigQuery, Python, Javascript, Redshift, CRM, MuleSoft APIs, Data, Data Cloud, Ai, Agentforce, force D360, Jupyter, R, prompt engineering, agent lifecycle management

data engineering , Tensorflow, Databricks, Big Data Technologies, Natural Language Processing, Deep Learning, Machine Learning, MLops, AWS, Pytorch, Python, Azure, Gcp, LLMs, LLMOps, MLFlow, R, LangChain, Agentic flows, LangGraph, Prompt engineering

snowflake , Data Governance, Togaf, BigQuery, AWS, Data Architecture, Azure, Gcp, Data Fabric, real-time data streaming, Data Mesh, data ethics, AI-ready architectures, data integration strategies, MDM, cloud-based data solutions, responsible AI

snowflake , Apis, Microservices, Integration Architecture, Databricks, SAP Datasphere, GenAI ecosystems, data platforms, SAP AI Core, CAP Cloud Application Programming Model, SAP Business Technology Platform BTP, SAP Integration Suite, LLM frameworks, AI Launchpad, event-driven design, cloud architecture principles