Implementing data pipeline using AWS services for airlines data
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Updated
Sep 24, 2024 - Python
Implementing data pipeline using AWS services for airlines data
AWS Comprehend is an event-driven, serverless data processing pipeline that leverages AWS services to perform natural language processing and analysis on user-submitted text files.
List up cron expressions registered in Amazon Web Services.
Go channels for distributed queueing and event-driven systems
ETL pipeline using AWS services
Serverless QR Code Generator
Demo Project: Scheduled Lambda calls the Strava API and sends an activity summary email.
Using DynamoDB async client in Lambda functions that uses Spring WebFlux and Spring Cloud AWS.
Bridge to use Symfony Messenger on AWS Lambda with Bref
Using Spring WebFlux to build a Lambda function and Spring Native to generate a native Linux executable for AWS.
This project implements the serverless infrastructure and code needed to create a middleware that can process orders on a massive scale.
A Terraform module to create AWS resources which are used to automatically take backup of all the parameters residing on AWS SSM Parameter Store in JSON format and store it on AWS S3 bucket using AWS Lambda function based on Python. It is executed daily via AWS CloudWatch or AWS EventBridge.
This serverless email marketing application leverages AWS cloud services to send personalized emails to a list of contacts.
To deploy an AWS Lambda function to refresh Salesforce access token to prevent it from expiring
Demo Project: ECS task runs when an S3 zip file upload event is triggered.
🌳 A sustainable Terraform Package which creates resources for Messaging Services (EventBridge, MSK, SNS, SQS) on AWS
Deploy AWS resources using Terraform, and automate deployments with GitHub Actions. Includes S3, Lambda, Docker, Step Functions, EventBridge, and IAM roles/policies.
An end-to-end data ingestion pipeline for airline data, utilizing various AWS services to process and store flight information efficiently.
Validates AWS EventBridge cron expressions, which are similar to, but not compatible with Unix style cron expressions
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