Database Design, Data Governance, Metadata management practices, Data Modeling Techniques and Methodologies, Relational and dimensional data modeling concepts, Data warehousing principles

Machine Learning, Hadoop, Cnn, Scala, Data Warehousing, Apache Spark, Kafka, Azure Databricks, Data Modeling, Knn, Sql, Azure Data Factory, Linear Regression, Python, Generative AI, DevOps practices, Palantir, CI/CD pipelines, ETL processes

Aws Redshift, Sql, cloud computing concepts, ETL ELT processes, AWS ecosystem, data modeling and schema design, data warehousing concepts and best practices

snowflake , Spark, BigQuery, Hadoop, Kafka, Data Modeling, Redshift, Sql, Git, Gcp, Databricks, Azure, Python, AWS, ETL processes

Aws Redshift, PostgreSQL, Storage, Data Structures And Algorithms, Python, Sql, Data ingestion, and analytics workflows, Transformation, ETL processes and tools, Data pipeline architecture

Python Scripting, PostgreSQL, Oracle, Geospatial data management, Esri technologies, ArcPy, ETL processes, ArcGIS Enterprise, FME Feature Manipulation Engine, ArcGIS Pro