data engineering , Oracle), SQL & Python, Data Warehousing (Redshift, SQL Server, Aws Cloud, Data Pipeline Architecture

snowflake , PowerShell, Kafka, Azure Databricks, SSIS, Sql, ELT, Git, Azure Data Factory, Azure Synapse Analytics, Python, Azure DevOps, Etl, Event Hub, Azure Service Bus

Performance Tuning, Data Security, Sap Bods, Ibm Datastage, Data Modeling, Data Governance, Redwood, Sql, ELT, Oracle, Etl, CI CD, Data quality frameworks

Hive, Hadoop, Sparksql, Python, Sql, Airflow, pySpark Data frame, Job scheduler, Bash Scripts

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

Apache Spark, Emr, Redshift, Sql, Apache Airflow, Docker, Terraform, Kubernetes, Python, Aws S3, Data observability, BI platforms, Flink, Lake Formation, Glue, Athena, Data pipelines, Data modeling techniques

graph databases , Sql, Data Profiling, Data Management, Python, Metadata Management, Reporting Tools, Spark, cloud platforms, AI capabilities, data cataloging, data quality frameworks, R, data lineage analysis

snowflake , Aws Lambda, BigQuery, Agile Methodologies, Emr, Redshift, Sql, Spark, Python, GCP Dataflow, Pub Sub, Glue