Big Data Technologies, Data Warehousing, Dataproc, Python Programming, Google Cloud Platform GCP, Cloud Composer, SQL PostgreSQL, Cloud Pub Sub, ETL Development Data Pipelines, Large Dataset Processing

data engineering , S3, Data Modeling, AWS Glue, Emr, Redshift, Sql, Data Integration, Lambda, Kinesis, Spark, Data Warehousing, Data Governance, Python, Etl, AWS, Data Lakes, FireHose, R, IAM roles and permissions

Gcp, Spark, Databricks, Azure, Sql, Python, ELT, Etl, Airflow, Prefect

Spark SQL, Pyspark, Performance Tuning, Apache Spark, Azure Databricks, Data Modeling, Azure Sql, ELT, Git, Azure Data Factory, Azure Synapse Analytics, Sonarqube, Cosmos DB, Python, Azure DevOps, Etl, Logic Apps, CI CD, Azure Data Lake Storage, Delta Lake, Azure Monitor, Application Insights

snowflake , Aws Redshift, Power Bi, Data Warehousing, Tableau, Sql, Apache Airflow, Azure Data Factory, Azure Synapse Analytics, Apache Kafka, Databricks, Apache Iceberg, pipeline development, Google BigQuery, Looker, dbt, Delta Lake, Azure Event Hubs, Microsoft Fabric, AWS Kinesis, cloud-native data architecture, Databricks Workflows

BigQuery, Apache Spark, Data Lake, Dataproc, Sql, Apache Airflow, Devops, Cloud Storage, Git, DataFlow, Data Warehouse, Python, Lakehouse architectures, Pub Sub, Cloud Composer, DataOps

Adf, SQL Server, Data Warehousing Concepts, Sql, Git, Terraform, Shell scripting, Python, Data observability tooling, Containerisation technologies, GNU Linux systems, Data modelling techniques, AI-assisted development tooling, Azure Platform, ETL ELT pipelines, CI CD practices, Data quality frameworks

Web Scraping, Data Transformation, Pyspark, data pipelines, ETL processes, large datasets

cloud security, Azure Databricks, Sql, Python, Databricks Metric Views, business ontology semantic modelling concepts, Git version control, CI CD pipelines, ELT ETL tooling, RBAC in Azure and Databricks, data modelling techniques, data quality lineage and reconciliation

Azure Data Factory, Pyspark, Sql, Delta Live Tables, Data Bricks