data engineering , snowflake , SQL Server, Redshift, Sql Development, Database Technologies, Databricks, Python, Data Stage, AWS, Etl, Data Warehousing technology, AI ML concepts, ELT frameworks, Data pipelines, ETL development using PowerCenter, DWH with data modeling

SQL Server, Kafka, Azure Sql, Sftp, Databricks, Integration patterns, Salesforce, Lakeflow Jobs notebook orchestration, Unity Catalog, Custom REST GraphQL orchestration, Snowflake Federation, Batch near-real-time data engineering, Open Sharing, Delta Lake, Azure Event Hubs, Direct Streaming, Lakeflow Connect

snowflake , AWS Glue, Dimensional Modeling, Automation, Sql, Cloud Migration, ELT, Data Warehousing, Python, Testing, AWS, Etl, Data Platform Modernization, Kimball Dimensional Modeling, CI/CD, Monitoring

PostgreSQL, Sql, Python, Canonical data modeling

Data Modelling, Pytest, T-sql, Adf, ELT, Spark, Data Architecture, Databricks, Python, Etl, Airflow, Auto Loader, Unity Catalog, Delta Lake, Structured Streaming

snowflake , Data Architecture, Data Modeling, Linux Scripting, Adobe Analytics, Sql, Devops, Data Quality, Powerbi, Azure Data Lake, Databricks, Python, DBT framework, Azure Data Engineering

Python, Apache Flink, Scala, Cosmos, Sql, Devops, Apache Kafka, Databricks, MongoDB, Azure, Data integration tools, ETL processes, DataOps, Data security patterns

Github, Data Factory, Power Bi, Pyspark, Data Warehouse, Sql, ELT, Python, Azure DevOps, Etl, Data Governance, OneLake, Real-Time Intelligence, Lakehouse, Microsoft Fabric, Spark optimization

Sql, ETL ELT fundamentals and best practices, CI CD pipelines for data deployments, Snowflake data warehousing including Time Travel and Fail Safe features, AWS services such as S3 Lambda Secret Manager IAM and CloudWatch, Configuration of monitoring alerting and data quality checks in cloud data platforms, Administration of Snowflake warehouses databases schemas and role-based security, dbt models macros and tests, Python for data engineering and automation