A

aws-iam

This module automates the build and deployment of AWS Lambda functions with a security-first approach. It generates signed ZIP artifacts, SBOMs, vulnerability reports, and integrity hashes to ensure that Lambda code is verifiable and tamper-resistant. The module is designed to be reusable and flexible by accepting an external IAM execution role and customizable Lambda source directories.

The project use traffic data from automatic measurement and corresponding weather data in order to support analyses aimed at answering the question: Do weather conditions impact traffic?

The aim of the project is to design and implement entire data data flow using ETL/ELT tools and methods. The steps include: csv data extract and initial processing (Python), load to AWS S3 Data Lake (Python boto3, AWS CLI), staging (Snowflake) and transformation (dbt core), data warehousing (Snowflake), data prep and EDA (Python, pandas) and visualisation (Streamlit).

Permissions for Terraform to manage my AWS account