Data Modeling, Pyspark, Sql, Git, Azure Data Factory, Databricks, Data Warehousing, Azure DevOps, GitHub Actions, Synapse Analytics, Delta Lake, Microsoft Fabric

BigQuery, DataFlow, Advanced Sql, Python, Logging, Dataform, Batch and streaming data processing, Data Catalog, Cloud Monitoring, Data lakehouse architecture concepts, Pub Sub, Dataplex, IAM Security controls, Java or Scala, Data ingestion frameworks, Analytics Hub, Data modeling and warehousing principles, CDC and incremental processing

amazon dynamodb , Apache Hadoop, Aws Lambda, Agile Methodologies, Etl Development, PostgreSQL, Data Warehousing, Apache Spark, Data Modeling, Jira, Sql, Devops, Amazon Redshift, MySQL, Scrum, Python, AWS, Amazon QuickSight, Amazon EMR Serverless, data ingestion

database performance tuning , Data Integration, Databricks, Sql, Data Warehousing, Apache Spark, Data Modelling

Ml, Java, Hadoop, Scala, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, Ai, Warehousing, ETL pipelines

graph databases , object storage , AWS Glue, Data Warehousing, Emr, Data Modeling, Redshift, Sql, Lambda, Kinesis, Python, AWS, Etl, FireHose, column-family databases, key-value stores, IAM roles and permissions, non-relational databases

Gcp, Data Warehousing, Azure, Etl, Generative AI, data pipelines, Ai, data automation

Ml, Aws Services, Scala, AWS Glue, Big Data Technologies, Emr, Data Modeling, Redshift, Sql, ELT, Lambda, Kinesis, Data Lake, Python, Etl, Ai, FireHose, IAM roles and permissions, non-relational databases, KornShell

Advanced Sql, Data Warehousing, OLAP technologies, prompt engineering, ETL pipelines