Data Modeling, Big Data Technologies, Data Architecture, Data Warehousing, Cloud Platforms

Spark, Data Warehousing, Data Modeling, Sql, Python, Etl, Relational Database Design, reverse-ETL, Azure Technologies, batch data processing, micro-batch data processing

snowflake , Data Warehousing, Data Architecture, Tableau, Solution Design, Scrum, Data Analytics, Power Bi, Agile Methodologies, Azure Data Factory, Qlik, Data Governance, Databricks, Data Integration, Azure, data platform modernization, data lakes, Synapse Analytics, Kanban, data management principles, Snowflake architecture, governance frameworks, Quality Management, master data solutions, cloud data platforms

Ml, Microservices, Databricks, Azure, AWS, data, event-driven, serverless, cloud platforms, Ai, application architectures, Lakehouse, RAG, LLM orchestration, agentic architectures

cloud platform , stream processing , Data Modeling, Data Architect

Metadata Management, Data Modeling, Spark, Kafka, Python, Sql

snowflake , Data Modeling, Scala, Dimensional Modeling, Sql, Data Integration, ELT, Amazon Redshift, Spark, Data Warehousing, Python, AWS, Etl, Data Lakes

snowflake , reporting technologies , Spark, Sql, Pig, Java, Bash Scripting, Hadoop, Tableau, Etl, Powerbi, Data Warehouse Concepts, Hive, Python, Nosql, Informatica, Data Modeling, Redshift, Data Transformation, AJO, Unifi, AEP RTCDP, Business Requirements definition, CJA

Ml, Metadata Management, Distributed Systems, Data Modeling, Sql, Cloud Computing, Nosql, Data Architecture, Data Governance, AWS, Lakehouse Design, Ai, Palantir Foundry