Full Stack Data Engineer
Project Terratree :
Developed a serverless Application for the internal team to fetch/process/cancel orders placed by customers on the A...
Project Terratree :
Developed a serverless Application for the internal team to fetch/process/cancel orders placed by customers on the Amazon portal.
- EventBridge associated with recurring lambdas which run for 15 minutes operations to call SP-API in order to fetch the status of the Amazon orders and push them to Dynamo-DB.
- Order can be marked as Purchased from 3rd party seller or delete and add to Bad-SKU(Stock Keeping Unit) and update the tracking ID to Amazon using SP-API.
Project Aitium:
Publicly available serverless application for merchants who sells products on Amazon. The application allows them to forecasts their sales and get granular reports on sales and traffic either aggregated by date or by individual ASIN (Amazon Standard Identification Number)
The application allows our merchants to Forecast their Job Metrics and revenue with data visualization enabled, their sales and traffic reports with the graphical representation of their data followed by the Conversion Report of their customers.
The forecast data needed by our customers would trigger a step-function backed by multiple AWS Lambda functions in order to forecast the required metric for 25% of the given forecast horizon. The service runs in AWS Forecast, which contains existing trained models for direct usage.
The AWS Lambda which extracts sales and traffic reports via SP-API on the user's SignUp pushes it to AWS S3 by restructuring everything into small JSON objects which can be easily used by the front end.
The current sales and traffic data is updated daily by step functions.
All the cloud infrastructure is deployed using terraform and managed by AWS amplify. The application's data gets collected in DynamoDB and S3. The front end is built on Angular and served by Cloudfront Global Accelerator.
Git
Amazon S3
Python 3
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Git
Amazon S3
Python 3
DynamoDB
Terraform
AWS Lambda
Serverless
Amazon MWS
AWS
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Cloud Engineer
Wolters kluwer
2021-08-01-2022-10-01
CAM & CIEM - Cloud Account Management & Cloud Infrastructure-entitlement Management:
- Automated and standardized the cloud accounts on A...
CAM & CIEM - Cloud Account Management & Cloud Infrastructure-entitlement Management:
- Automated and standardized the cloud accounts on AWS and Azure.
- Created/Deleted/Tagged all the cloud resources according to the data captured from the ServiceNow portal.
ECIM - Enterprise Cloud Inventory Management.
- Automated the inventory of the Infrastructure and Automation team for AWS and Azure Cloud.
- Generated Nightly automated reports to calculate the Technical Debt of all cloud resources for reporting purposes.
- Generated Inventory, Billing per account, and billing per team by matching the tags of every used cloud resource on AWS and Azure.
CAAS - Container as a Service.
- Deployed CI/CD pipelines for clusters containing all the cloud services for enterprise application teams
- Cloud services included:
- Monitoring and Monitoring Stack: Grafana, Prometheus, Cloudwatch, ELK, and EFK.
- Security: Twistlock and Velero.
- Networking: Istio, Kiali, Jaeger, Metricbeat.
- Messaging: Rabbitmq.
Python
Azure
Docker
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Python
Azure
Docker
Kubernetes
AWS Lambda
AWS
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Captain of AI - Part time
The Climber (My-Captain)
2020-04-01-2021-09-01
Taught over 2000+ students to master python programming and get started with Data Science and build awesome projects. I have curated over...
Taught over 2000+ students to master python programming and get started with Data Science and build awesome projects. I have curated over 100 video testimonials from my students after the 2-month sessions, and it gives me immense pleasure to add some value to my student's life and to give back to the community.
Python 3
Data Science
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Python 3
Data Science
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