snowflake , Metadata Management, Google Cloud Platform, Data Quality, MLops, Databricks, Microsoft Azure, Data Governance, AWS, GenAI, LLMs, AI Agents, AI governance frameworks, cloud-native architecture patterns, Analytics, Enterprise Data Platforms, Synapse, DataOps, MDM, Microsoft Fabric, AI solutions, RAG architectures

data engineering , snowflake , Adf, Data Architecture, Data Warehousing, Informatica, Talend, Python, AWS, Data Modelling, Sql, Gcp, Databricks, Azure, AI ML solutions, AutoGen MCP, Lang Graph, Lang Chain, vector databases, Pinecone, AI agent design development, ETL-ELT frameworks, Lakehouse architectures, FAISS, dbt, Glue, cloud data platforms, LLM-based application development

snowflake , Terraform, Docker, Python, Sql, Devops, Git, MLops, Spark, AWS CloudFormation, Databricks, Azure, Kubernetes, AI Architecture, Hugging Face, MLflow, Pinecone, Azure OpenAI, GCP Vertex AI, ChromaDB, LangChain, Generative AI, LLMOps, Synapse, Agentic AI, AWS SageMaker, Azure AI, OpenAI

Apache Spark, Kafka, Devops, Automated Testing, AWS, Flink, Iceberg, Trino, Delta Lake, AI-powered platforms, LLMs, retrieval-augmented generation, observability, vector data architectures

Power Bi, Pyspark, Azure Databricks, Data Modeling, Devops, Scalability, MLops, Data Lake, Python, GenAI, Ai, vector databases, Cloud infrastructure security, Lakehouse, Microsoft Azure Fabric, Governance

data quality assurance , object storage , Kafka, Azure DevOps, Azure, Jenkins, Spark, AWS Bedrock, Feast, distributed query engines, OpenAI, Amazon Deequ, Data Architecture for AI, cloud native ETL, DataHub, Apache Atlas, Power BI with Copilot, LangChain, CrewAI, data lakehouses, LangGraph, GitHub Actions, ELT frameworks, platform integration, Vertex AI, Great Expectations, Google ADK, Evidently, AutoGen

Microservices, Data Quality, Software Architecture, Distributed Systems, Data Governance, Kubernetes, Enterprise data AI platform design, Event-driven systems, Asynchronous workflows, Presales engineering, DataOps, Metadata Lineage, AI ML platforms

data engineering , Artificial Intelligence, Python, Sql, Pyspark, Devops, Api Integration, Microservices, Terraform, Azure Devops, Github, Kubernetes, Docker, Solution Architecture, Effort Estimation, Rfp, Rfi, Requirement Gathering, Solution Design, Cloud Architecture, Aws, Azure, Gcp, Data Architecture, Databricks, Etl, Resource Planning, Proposal Development, Stakeholder Management, Llm