• Developed Python scripts to extract data from AWS S3 buckets, perform data cleaning and validation, and create standardized datasets for training ML models.
• Designed and maintained scalable database schemas in PostgreSQL for the extracted data, resulting in a 25% reduction in database maintenance overhead.
• Developed a RESTful API using Django to manage the extracted data from AWS S3 buckets. Decreased data entry errors by 70% after implementing validation steps.
• Working on an ongoing Terraform project to deploy the mentioned Django application, which utilizes EC2 for compute resources and RDS for database management.
• Resolved issues within the existing GitHub Workflow and optimized the build and deployment time by 3 minutes.
• Created comprehensive documentation for a Terraform project, which used the Terragrunt wrapper.

• Enhanced system scalability by 30% by migrating legacy applications to Docker containers.
• Improved data processing speed by optimizing database queries in PostgreSQL and MongoDB.
• Increased API response efficiency by refactoring backend services using Django and Spring Boot.
• Reduced system downtime by 40% by automating deployments using Ansible on Linux servers.

• Created Grafana dashboards to monitor various mobile applications on Google Play and identify opportunities for better profit margins, resulting in securing 20% more profitable contracts.
• Conducted direct customer negotiations, amplifying contract value by 15%.
• Reduced average customer support response time from 8 to 4 minutes by enhancing technical process efficiencies.
• Enhanced customer satisfaction ratings from 83% to 87% in surveys by refining goals during sprint planning.
• Supported mobile application partners by providing expert consultancy on monetization strategies.

• Transitioned a website from WordPress to Django, deployed on a Linux server, enhancing various functionalities such as caching, order processing, and filtering. This overhaul resulted in a performance improvement of nearly 20%.
• Engineered a MongoDB schema for the new website, using Django ORM to facilitate the migration and integration of data, which enhanced data processing speed by 10%.
• Implemented different digital network advertising zones on the website, resulting in a 30% increase in monetization.
• Enhanced user interactivity with JavaScript, boosting page engagement by 20%.

Languages and Databases

Python

C#

Java

PostgreSQL

Bash

Tools

Git

AWS

Vagrant

Docker

Terraform

VMware

Others

Jira

Trello

Slack

Asana

LaTex

Concepts

CI/CD

OOP

Data Structures & Algorithms

Agile

Microservices