Hadoop, Pyspark, Spark, Data Warehousing Concepts, UNIX, Python, Sql

Unix, Data Manipulation Language, Tableau, Json, Python, AWS, Java, Power Bi, Csv, Scala, Apache Spark, Automation, Sql, Git, Linux, Xml, Databricks, Azure, Agent Orchestration, Data storage subsystems, MS Fabric, Normalized dimensional data modelling, Event-Driven Workflows, ETL workflows

data engineering , Java, Database, Scala, Python, Sql, software engineering best practices, large-scale distributed systems, site-reliability engineering, object-oriented programming languages

Qlik Sense, Microsoft Power Bi, Kafka, Informatica, Windows, JIRA, Sonarqube, Hue, Oracle, Python, Hadoop, Impala, Sql, Aix, Jenkins, Hive, Bitbucket, Linux, Spark, Cloudera, As400, Business Objects, R, Control-M, Teradata

Advanced Analytics, Machine Learning, Data Warehousing, Data Modeling, Google Cloud, ELT, Data Quality, Data Governance, Azure, AWS, Etl, data engineering best practices, cloud platforms, big data tools, data lakehouse

Azure Cosmos DB, MySQL, Apache Spark, Microsoft Sql Server, Microsoft Azure, MongoDB, Sql, Etl

Sql, OBIEE, ETL processes, Business Intelligence architecture, Data warehousing principles

Power Bi, Databricks, Sql, AWS, Etl, Quicksight, Python, Azure, Google Cloud, Tableau, Spark, Airflow

Power Bi, PostgreSQL, SQL Server, Version Control Tools, Sql Development, ELT, Query Optimization, Git, Data Warehouse Concepts, Databricks, Azure, Oracle, Etl, AWS, dimensional modelling, Relational Databases, visualization tools, cloud data platforms

Azure Data Factory, Scala, Azure Data Lake, Data Governance, Databricks, Python, Sql, Etl, data models, ELT pipelines, PII handling