Orchestration, S3, Metadata Management, Pyspark, PostgreSQL, Automated Testing, Data Modeling, Lambda, Advanced Sql, Python, RDS, release management, Dynamodb, SQL Server, Redshift, Data Quality, ECS, transformation standards, CI CD, AWS data services, ETL best practices, data cataloging, Step Functions, Monitoring, large-scale data processing, Glue

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

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

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

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

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