data engineering , snowflake , SQL Server, Redshift, Sql Development, Powercenter, Database Technologies, Databricks, Data Stage, Python, AWS, Etl, AI ML concepts, ELT frameworks, Data pipelines, DWH with data modeling

Java, Scala, Shell Scripting, Sql, Jenkins, Ansible, DataFlow, Python, Google BigQuery, Tableau APIs, Cloud Composer, Google Cloud Storage, Google Pub Sub

Java, Power Bi, Pyspark, Azure Databricks, Storage, Sql, Identity Management, Git, Ssas, Terraform, Docker, Ansible, Python, Kubernetes, Azure cloud networking, ADLS Gen2, Unity Catalog, Delta Lake, Microsoft Fabric, Compute

Power Bi, Data Governance, Data Modeling, Delta Tables, Data quality checks, DevOps practices, Microsoft Fabric, Data lakehouse technologies, Data ingestion pipelines

data engineering , logical data model , physical data model , snowflake , Unix, Data Architecture, AWS Glue, SSIS, Sql, Qlik Replicate, Gitlab, Python, AWS, Modeling, stored procedures, CI CD, Data Vault Modeling, Snowpark, IBM Data Stage, dbt, Control-M, data design patterns, SAP Business Objects Data Services BODS

Power Bi, Sql, Dax, Azure Data Factory, Pyspark, Microsoft Fabric

databricks, Sql, aws, Azure, Etl, elt, Airflow

amazon dynamodb , snowflake , Cassandra, Amazon S3, PostgreSQL, AWS Glue, Docker, Neo4j, Python, Aws Lambda, Oracle Sql Server, Apache Spark, Sql, Git, Amazon Redshift, Sqs, Apache Kafka, Databricks, MongoDB, Amazon Athena, AWS Step Functions, GraphDB, Amazon SNS, Amazon Neptune, Amazon ECS Fargate, AWS Cloud Technologies, CI CD pipelines, Microsoft Fabric

snowflake , Gcp, Databricks, Sql, Apache Airflow, Java, Apache Spark, AWS, Python, Azure, Data Modelling, Data Warehousing principles, ETL processes