data streaming , Cloud Technologies, Web Technologies, Distributed Systems, Restful Apis, Python, Data pipeline orchestration tools, Data governance frameworks, Data transformation frameworks, Messaging frameworks, Event-based architecture, Data engineering concepts

Spark - Pyspark, snowflake , S3, Efs, Lambda, Gcp, Plsql, Aws Ec2, Mulesoft, Data Warehousing, Python, AWS, Airflow, Step Functions, Modern Data Platform Fundamentals, Aurora, ETL Fundamentals, Lake Formation, EBS, dbt, Glue, Data Modelling Fundamentals, Athena

Spark SQL, T-sql, Power Bi, Pyspark, Scala, SQL Server, Pl Sql, Azure Databricks, Sql, Azure Data Factory, Spark Streaming, Azure Functions, Dax, Python, Azure DevOps, Delta Lake

time travel , Pyspark, Kafka, Spark SQL, Photon autoscaling, Z-ORDER, Lakehouse Federation, DLT, CI CD, on-call readiness, Delta Sharing, Event Hubs, environment promotion, ABAC, file sizing, Workflows orchestration, unit data expectations, secrets, PHI controls, Unity Catalog, tests, PII, OPTIMIZE, Delta, rbac, dbt, Synapse integration, streaming patterns, MERGE SCD2 schema evolution enforcement

Github, S3, Aws Services, Agile Methodologies, Cloudformation, AWS Glue, Redshift, Sql, Nosql, Docker, MySQL, AWS ECS, Spark, AWS IAM, MongoDB, Python, Multi-Dimensional Data Modelling, GitHub Actions, SonarCloud, Enterprise Data Warehouse concepts, Infrastructure as Code, ETL pipelines

Redshift, Sql, athena, airflow