Projects

I design and deploy scalable, secure, and automated cloud solutions using AWS. My projects demonstrate expertise in serverless architectures, infrastructure design, automation, and data processing workflows.

Data Pipeline for Processing CSV Files Using S3, Lambda, Glue, and QuickSight

Objective: Automate processing of CSV files to enable efficient data analysis.
Build: Designed a serverless data pipeline using AWS Lambda, S3, Glue, and QuickSight to ingest, transform, and visualize data.
Impact: Streamlined data workflows, reducing manual processing time and enabling faster insights.
Tags: AWS • Lambda • S3 • Glue • QuickSight • ETL

Two-Tier Website Deployment on AWS using EC2, RDS and ALB

Objective: Deploy a scalable web application with secure backend database access.
Build: Implemented a two-tier architecture with EC2 web servers, RDS database, and ALB for load balancing, all inside a secure VPC with properly configured security groups.
Impact: Ensured high availability, secure access, and better fault tolerance for the application.
Tags: AWS • EC2 • RDS • ALB • VPC • Security Groups

Objective: Eliminate manual tracking of receipts and automate notifications.
Build: Developed a serverless solution using AWS Lambda, S3, and SES to process receipts and send automated email alerts.
Impact: Reduced manual processing time by 80% and enabled real-time receipt monitoring.
Tags: AWS • Lambda • S3 • SES • Automation • Serverless

Automated AWS Receipt Processing System Using S3, Lambda, SES

Mini Project — Infrastructure Monitoring with CloudWatch

Objective: Monitor EC2 infrastructure and receive real-time alerts for system events.
Build: Configured AWS CloudWatch to track metrics, monitor EC2 instances, and trigger notifications via SNS. Implemented automated alerts to improve system reliability.
Impact: Enabled proactive monitoring, faster response to issues, and improved system uptime.
Tags: AWS • CloudWatch • EC2 • SNS • Monitoring • Alerts • Automation