Data engineer with AWS

Teradata Expertise:
• In-depth knowledge of Teradata architecture and components (e.g., AMP, Nodes, Parsing Engines, etc.).
• Proficiency in hashtag#Teradata hashtag#SQL and Teradata utilities.
SQL and Scripting:
• Strong SQL skills for querying and managing relational databases.
• Scripting experience (e.g., Shell, hashtag#Python) for automating tasks.
• Know tools like Teradata Utilities (e.g., BTEQ, FastLoad, MultiLoad, TPT, etc.).
ETL Tools:
• Experience with ETL tools and technologies used in Teradata environments.
Performance Optimization:
• Knowledge of query optimization techniques, indexing, partitioning, and workload management in Teradata.
Data Warehousing Concepts:
• Strong understanding of data warehousing principles, including star/snowflake schemas, OLAP, and ETL processes.
Cloud Platform / AWS Expertise:
• Proficiency with core hashtag#AWS services: EC2, S3, RDS, hashtag#Lambda, CloudWatch, CloudFormation, etc.
• Experience with AWS networking (VPC, subnets, security groups, NACLs) and security management.
• Familiarity with AWS storage options, such as S3, EFS, and Glacier, in the context of large-scale data storage and retrieval.
Teradata and AWS Integration: