Spark SQL, Pyspark, Data Modeling, Sql, Google Cloud, Terraform, Databricks, Azure, Python, AWS, Databricks SQL, Infrastructure-as-code, Unity Catalog, CI CD pipelines, Lakeflow Delta Live Tables

Change Data Capture (CDC), Aws Lambda, Amazon S3, Scala, AWS Glue, Data Governance, Tableau, Sql, Metadata Management, Amazon Redshift, Data Lake, Python, Amazon EventBridge, AWS Step Functions, Lakehouse architectures, Batch and streaming data processing, AWS Lake Formation, Incremental data load patterns, AWS AppFlow, Data cataloguing, AWS SageMaker, MLOps frameworks

Pyspark, AWS, Python

Spark SQL, Apache Spark, Data Warehouse Concepts, Tableau, Oracle Database Management, Incident Management, Data Profiling, Databricks, AWS, Advanced Analytics Techniques, RDDs, Cloud Cost Control, Amazon SageMaker, DataFrames, DataRobot, ML Ops, IDMC Informatica Data Management Cloud, Data Verification, Monitoring

data warehouses , snowflake , BigQuery, Automated Testing, Redshift, Sql, Databricks, Python, AWS, data pipelines, code reviews, CI CD, data lakes, Infrastructure-as-Code, data orchestration, lakehouse architectures

Spark, Sql, Emr, Java, Devops, Etl, Hive, Data Architecture, S3, ELT, Aws Services, Kinesis, Oracle Sql, Plsql, Kubernetes, Python, Ec2, Redshift, warehouse construction, Airflow, lake formation, container orchestration, Modeling, CI CD pipelines, microservices deployment, streaming solutions, Warehousing, Athena, data crawling, machine learning deployment, R

S3, Data Modelling, Csv, Data Warehousing, Tableau, Sql, Iam, Spark, Databricks, Python, Etl, Parquet, AWS data services, Athena, Data Validation

data warehouses , snowflake , Python, AWS, BigQuery, Redshift, Sql, Databricks, Data Quality, Automated Testing, Infrastructure-as-Code, data lakes, data pipelines, Troubleshooting, data orchestration, Monitoring, CI CD, lakehouse architectures