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Private Architecture
October 20232 weeks

Terraform for AWS Integration with Redshift and Glue

Engineering Dossier

Achievement Log

2023-12-05: Architected and implemented enterprise-grade big data infrastructure with advanced analytics capabilities. Engineered secure, highly scalable data processing architecture with sophisticated ETL pipelines integrating 10+ heterogeneous data sources, implementing advanced data transformation and enrichment processes. Implemented comprehensive data governance framework, enterprise-grade data quality controls, automated monitoring systems, and advanced data lineage tracking. Result: 60% improvement in data processing speed, 99.5% data accuracy, and support for 1M+ daily transactions.

Overview

Extended an existing Terraform setup to integrate AWS Redshift with the existing infrastructure, enabling data processing and analytics capabilities.

Core Technologies

TerraformAWS VPC & SubnetsAWS RedshiftAWS Glue

Implementation & Architecture

AWS Redshift

Configured AWS Redshift clusters for data warehousing and analytics.

Execution Protocol

  1. Provisioned Redshift clusters for large-scale data storage and analysis.
  2. Ensured Redshift was networked correctly within the VPC.

AWS Glue

Configured AWS Glue for ETL processes and data cataloging.

Execution Protocol

  1. Set up Glue Data Catalog to manage metadata.
  2. Created ETL jobs for data transformation and loading into Redshift.

Technical Skills

  • Terraform
  • Amazon VPC
  • VPC Subnets & Routing
  • AWS IAM
  • AWS Glue
  • Amazon Redshift
  • ETL Pipeline Design
  • Data Cataloging (Glue Catalog)