Large Language Models (LLMs), Generative AI, Databricks Unified Data Analytics Platform, Data pipelines, Data modeling techniques, Data integration workflows, Cloud-based data platforms, Distributed computing environments

snowflake , Power Bi, Data Modeling, Data integration and orchestration tools, Data quality techniques, Microsoft Azure data and AI services, Informatica IICS

enterprise data modeling , snowflake , , AWS, ELT, Etl, Data Warehousing, Data Governance, Azure, Cloud Data Platforms

Azure Security, Design Patterns, Data Governance, OneLake, data lifecycle management, Microsoft Entra ID, Warehouse, Monitoring, networking integration, performance optimisation, enterprise identity patterns, LLDs, technical governance, HLDs, Lakehouse, Microsoft Fabric architecture, cost management, architecture standards, Direct Lake semantic models

Aws Services, Power Bi, Tableau, Data Modeling, Redshift, Sql, analytics consumption, feature stores, HVR, metadata governance, lakehouse architecture, Fivetran, vector database concepts

snowflake , Kafka, Data Modeling, ELT, Kinesis, Distributed Systems, Python, AWS, Java, Hadoop, Scala, Apache Spark, Sql, Data Quality, Gcp, Spark, Data Governance, Databricks, Azure, Etl, Event Hub, data cataloguing, NoSQL databases, data integration tools, real-time data streaming technologies, cloud ecosystems

data warehouses , Master Data Management (MDM), Massively Parallel Processing (MPP) systems, Spark, Metadata Management, Scala, Data Analytics, Data Architecture, Sql, Data Quality, Data Governance, Data lakes, Distributed data management, NoSQL systems, Streaming platforms, Generative AI technologies, Relational Databases, Data Cataloging, Data modeling techniques

snowflake , S3, Metadata Management, Performance Tuning, Kafka, Data Modeling, Presto, Spark, Databricks, Azure, AWS, enterprise data governance, Parquet, Airflow, Dremio, SQL optimization, Iceberg, role-based access control, Delta, ADLS, dbt, Trino, GCS, Athena