Pyspark, Apache Spark, Azure Databricks, Data Modeling, Data Warehousing, Sql, Git, BI tools integration, Azure Blob Storage, Denormalization, Azure Data Lake Storage, Normalization, ETL pipelines

data engineering , BigQuery, Sql, DataFlow, GCP Data Services, Spark Framework

NRT - Kafka, Metadata Management, Big Data, Python, Data lineage techniques, Master data management, Data modeling methodologies

data engineering , Cobol, Unix, Blaze, Sql, wTMS, TRIAD

Data Warehousing Concepts, Databricks Unified Data Analytics Platform, cloud platforms and services related to data storage and processing, data integration tools and techniques, ETL processes, data governance and data quality best practices

BigQuery, Google Cloud Platform, Apache Spark, Dataproc, Sql, ELT, Cloud Storage, DataFlow, Python, Etl, Airflow, Pub Sub

graph databases , object storage , AWS Glue, Data Modeling, Sql, key-value stores, IAM roles and permissions, non-relational databases, Warehousing, column-family databases, ETL pipelines

graph databases , object storage , Data Modeling, Emr, Redshift, Quicksight, Lambda, Kinesis, Spark, Python, AWS, Etl, Real-time Data Pipelines, Column-family Databases, FireHose, IAM Roles and Permissions, Iceberg, Lake Formation, Glue, Non-relational Databases, Athena, Key-value Stores

PowerShell, Sql, PI Data Archive, PI 800xA, PI Batch Interface, PI BMI Interface, PI Asset Framework, PI Interfaces, TIMS HP-ALM Testing tool, PI RDBMS Interface, PI to PAS-X Interface