AWS Data Engineer

AWS Data Engineer


  • Python Introduction
  • python installation
  • Python syntax
  • basic python operators
  • Variable & Identifier
  • Data types
  • If-else statements
  • For loops
  • While loop
  • Break/continue/pass
  • read/write files
  • function
  • class and object
  • exception handling
  • mathematics




  • SQL Query type(CRUD)
  • SQL Comparision Operators
  • SQL Joins
  • SQL clause
  • SQL Functions
  • SQL Condition
  • SQL Tables
  • SQL Key, Constraints


Fundamentals of DataBase

  • Fundamentals of Data warehouse
  • Normalization
  • ETL
  • ELT
  • Bigdata (Hadoop, Hive, Pig)
  • Dimensioning Modelling
  • DWH Architecture
  • Data Migration
  • Data Quality
  • Data Validations
  • Data Profiling
  • Data Creation
  • Data Security
  • Business Intelligence



  • Introduction of Linux
  • Linux File System
  • Basic Linux Commands
  • Text Editors
  • Managing Users and Groups
  • Process Management
  • Network Configuration
  • Bash Scripting
  • Package Management
  • Security and Permissions
  • sed, awk, grep, and regular expressions.
  • System Monitoring and Logging
  • Advance: sed, awk, grep, and regular expressions.



  • Data Engineering fundamentals
  • Overview of AWS services
  • AWS Management Console and AWS CLI
  • S3 basics and concepts
  • S3 operations (PUT, GET, DELETE, etc.)
  • EC2 instance types
  • Launching, configuring, and managing instances
  • RDS fundamentals
  • Creating, configuring, and managing RDS instances
  • DynamoDB fundamentals
  • DynamoDB read and write operations
  • Redshift fundamentals
  • Redshift cluster management
  • Glue fundamentals
  • Glue Data Catalog
  • Creating and managing Glue Crawlers
  • EMR fundamentals and architecture
  • Creating and managing EMR clusters
  • Data Pipeline fundamentals
  • Creating and managing Data Pipelines
  • Athena fundamentals
  • Querying data in Amazon S3 using Athena
  • Integrating Athena with AWS Glue Data Catalog


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