Data Modeling, Python, Sql, ETL processes, data integration techniques, database design principles, data warehousing solutions, Google BigQuery

Gcp, Databricks, BigQuery, Data Modeling, Apache Spark, Sql, Data Warehousing, Python, Cloud Architecture, ETL Processes

kimball methodology , Spark SQL, Pyspark, Dimensional Modeling, Sql, Azure DevOps, Data Governance frameworks, Lakehouse Architecture, Databricks Unity Catalog, Azure Stream Analytics, Real-time data processing, Data Vault 2.0, Data modeling methodologies, Microsoft Fabric

, Data Architecture, Data Integration, Sql, ELT, Etl, Data Modeling, Data Governance, data pipelines, ontology development, Palantir Foundry

Azure, Data Warehousing, Data Modeling, ETL/ELT Processes, Trouble Shooting

Query Optimization, API design, Java, Replication, Kafka, MLops, Cassandra, Nosql, REST, PostgreSQL, Data Modeling, Microservices, AWS, Schema Design, Oracle, Data Governance, Graphql, MongoDB, Indexing strategy, Data pipelines, Lakehouse patterns, Streaming ingestion, Partitioning, Sharding, Warehousing, GRPC, Infrastructure as Code, Event-driven architectures, Observability tooling

Data Governance, Data Quality, Metadata Management, Data Maturity Assessment, DCAM, EDM, DAMA, DMBOK, data stewardship, Us Healthcare