Data Modeling, ETL processes, data integration techniques, data quality frameworks, database design principles, MicroStrategy Business Intelligence, data warehousing concepts and practices

Tableau, Databricks, Big Data Technologies, Sql, Data Modeling, Data Warehousing, Data Architecture, Data Visualization, AWS, Python, Data Integration, Data governance frameworks, ETL processes

graph databases , object storage , Java, Scala, AWS Glue, Nodejs, Data Modeling, Sql, Python, column-family databases, key-value stores, IAM roles and permissions, non-relational databases, ETL pipelines

data engineering , snowflake , Github, PostgreSQL, Pyspark, Data Warehousing, Numpy, MySQL, Python, AWS, Data Modelling, Api Development, Sql, Jenkins, Git, Gcp, Pandas, Databricks, Azure, Aws S3, machine learning workflows, Dash, Agentic AI frameworks, BI ETL development, NoSQL databases, cloud platforms, microservices architecture, AI-driven analytics, CI CD pipelines

data engineering , Hadoop, Adf, Kafka, Sql, ELT, Elasticsearch, Spark, Data Warehousing, Python, Etl, Airflow, Data Lakes, Data Pipelines, DevOps practices, Glue Workflow, NoSQL databases, Data Analytics tools

snowflake , Data Migration, Dimensional Modeling, Sql, ELT, Git, Debugging, Data Warehousing Concepts, Etl, cdc, data integration patterns, reconciliation techniques, incremental loading, dbt, Salesforce data models, performance optimization, CI CD practices, CRM objects

snowflake , Data Modeling, Python, Sql, Dimensional Modeling, Snowflake schema, CI CD integration, dbt, Git-based version control

BigQuery, DataFlow, Cloud AI Pipelines, Distributed data processing, Cloud data architecture, Orchestration and automation frameworks, Vertex AI, Data processing workflows