Big Data Technologies, data modeling concepts, security and compliance considerations in cloud data environments, data integration techniques, cloud-based data processing and analytics platforms, Microsoft Azure Databricks, design and implement scalable data pipelines, distributed computing frameworks

Aws Lambda, S3, Cloudformation, AWS Glue, Apache Spark, Prometheus, Datadog, Cloudwatch, Terraform, Airflow, Go, CI/CD pipelines

Azure Data Factory, Power Bi, MySQL, Oracle, Sql, Performance Tuning, Data Modeling, ADLS Gen2, Enterprise data architecture, Data quality frameworks, Data integration patterns, Troubleshooting, Data security practices, Workflow orchestration, Query development

Servicenow, Itil, Azure Data Factory Cloud Data Platforms, Cloud Data Operations, Databricks and Snowflake, Airflow and Scheduling Tools, UNIX Linux and Shell Scripting, Advanced SQL and Data Modeling, Python and PySpark, Data Quality and Reconciliation

snowflake , Data Quality, Kafka, Data Governance, Oracle, Python, Sql, dbt, Snowflake Cortex

Python, Sql, Data Modeling, Data Warehousing, Gcp, BigQuery, Cloud Storage, Apache Beam, Data Governance, ETL Pipelines