data engineering , snowflake , Cicd, Gcc, MLops, Aws Cloud, Python, Llm, Gen AI

Learning development programs, Integration standards, Change management practices, Reusable frameworks, Responsible AI, Data-driven culture, Data AI strategy

Databricks, Cosmos DB, Azure Synapse Analytics, Devops, Hadoop, Netezza, Kafka, Azure Machine Learning, MySQL, Hive, Mariadb, PostgreSQL, Azure Sql, SQL Server, Agile, Azure Data Factory, Apache Spark, Oracle, Microsoft Fabric, HDInsight, DataOps, Azure OpenAI, AI-first principles, Teradata, Microsoft Purview

Pipeline management forecasting CRM discipline, Executive presence communication, Data AI solution selling, Value-based consultative selling, Partner ecosystem collaboration, Proposal and contract negotiation, Strategic account expansion, Enterprise sales new logo acquisition, GCC ecosystem knowledge India-based captives, Relationship building stakeholder management

data warehouses , data engineering , snowflake , Databricks, AWS, Azure, Gcp, modern analytics platforms, data platforms, accelerators, cloud data ecosystems

Data-driven culture, Data AI strategy, Integration standards, Responsible AI, Reusable frameworks, Change management practices, Learning development programs

Tensorflow, Pytorch, Microsoft Azure, Python, LangChain, agentic AI frameworks, vector databases, Pinecone, prompt engineering, Chroma, transformer architectures, large language model optimization techniques, Weaviate, quantization, LlamaIndex

Databricks, Data Modeling, Azure, AWS, Data Governance frameworks, Cloud platforms, AI Services, Ai, GenAI capabilities, Data Platforms

Enterprise Architecture, MLops, explainability, Business Process Mapping, Regulatory Compliance, prompt engineering, production-grade ML systems, LLM fine-tuning, Agentic AI, multi-agent system design, AI security governance, AIOps, RAG architectures, AI solutions

Program Governance, data ML annotation, data quality validation, data quality benchmarking, large-scale data operations, human-in-the-loop workflows, PMO structures, AI model training data preparation, data sourcing