AWS Glue, Dynamodb, Apache Airflow, Kinesis, Spark, Aws Redshift, Python, Glue Catalog, AWS DMS, AWS EMR, Managed Streaming for Apache Kafka, Aurora, Spark Scala, dbt, AWS Kinesis

JIRA, Sql, ELT, Git, Confluence, Gcp, Azure, Python, AWS, Etl, data pipeline design, batch data processing, cloud data warehouses, data lakes, Relational Databases, streaming concepts

snowflake , Sql, Apache Airflow, Gcp, Data Warehousing Concepts, Azure, Python, AWS, Etl, data pipeline development, ELT processes, dbt

snowflake , SSIS, Transformation Testing, Data Quality Validation, Documentation, dbt, Data Pipeline Building

Pyspark, Data Cleansing, Data Modeling, Python, Sql, data sourcing strategies, data lake architectures, AWS DataBricks, data analysis techniques, digital security principles, data integration tools

file formats , stream processing , Java, Agile Methodologies, Csv, PowerShell, Json, Sql, Azure Data Factory, Xml, Etl Tools, Databricks, Dax, Python, Azure DevOps, big data pipelines architectures, Parquet, scalable data stores, message queues, Relational Databases, SQL NoSQL systems, dbt, Azure Data Services

data engineering , RDBMS, Iam, Pyspark, Data Warehousing, Python Programming, Nosql, Devops, Databricks, Release management, Sql, VPC security groups, ETL data processing, encryption mechanisms, AWS cloud development, cloud security best practices, Cloud based services and integrations

Metadata Management, Aws Redshift, Schema Design, AWS Glue, Performance Tuning, ELT, Data Warehousing, Data Governance, Etl, Data Quality Checks, Cost Performance Tuning, Job Orchestration, Data Cataloging, AWS-related Certification

Data Quality, RDBMS, Apache Spark, Databricks, Data Warehousing, Data Governance, Python, Sql, Etl, ELT