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

Java, Spring Boot, Sql, Linux systems, command line operations, Big Data operations

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

Devops, Pyspark, Apache Spark, Databricks, Python, Azure DevOps, Microsoft Azure Cloud

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

S3, Terraform, Pyspark, Iam, AWS Glue, Sql, AWS Step Functions, EventBridge

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