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SANJAY
SANJAY M

Hey, My Self SANJAY

Software Engineer with 3+ years of experience in Oracle SQL and PL/SQL development, application support, and production support. Skilled in building and optimizing database-driven systems, with working knowledge of Python, AWS, Linux, Docker, and DevOps fundamentals.

About Me Hi, I'm Sanjay, a Software Engineer with over 3 years of professional experience in Oracle SQL and PL/SQL development, application support, and production support. I have worked extensively on developing, enhancing, and maintaining database-driven enterprise applications, with strong expertise in writing complex SQL queries, building efficient PL/SQL programs, and optimizing performance for large datasets.

In my current role, I actively contribute across the software development lifecycle, including requirement analysis, development, unit testing, deployments in lower environments, and production support. I have hands-on experience with database objects such as packages, procedures, functions, triggers, views, materialized views, and indexes, along with strong error handling and debugging skills to ensure system stability and reliability.

Alongside my core database expertise, I have practical exposure to Python, AWS, Linux, Docker, Jenkins, and DevOps fundamentals. I am passionate about automation, backend systems, and cloud-based solutions, and I continuously work on improving my technical skills to build scalable, efficient, and maintainable applications.

Get to know me!

Hey! This is SANJAY, a Software Engineer with over 3 years of professional experience in Oracle SQL and PL/SQL development, application support, and production support. I specialize in building, enhancing, and maintaining database-driven enterprise applications, with strong expertise in performance tuning, complex SQL queries, and backend data processing.

In my professional journey, I have worked across the software development lifecycle, including requirement analysis, development, unit testing, deployments in lower environments, and production support. I have hands-on experience with packages, procedures, functions, triggers, views, materialized views, indexes, exception handling, and bulk data processing, ensuring system stability and reliable performance in production environments.

Alongside my core database expertise, I have practical exposure to Python (FastAPI, Flask), AWS, Linux, Docker, Jenkins, Terraform, Ansible, Kubernetes, CI/CD pipelines, and DevOps fundamentals. I am passionate about automation, backend development, and cloud-based solutions, and I continuously upskill myself to design efficient, scalable, and maintainable systems that align with modern IT practices.

I hold a Bachelor’s degree in Computer Science and Engineering from KSR Institute for Engineering and Technology with a CGPA of 7.7 (2023). I enjoy solving real-world problems, improving system efficiency, and contributing to technology-driven projects. Feel free to connect or contact me anytime.

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My Skills

Python
Oracle SQL
PL/SQL
Advanced SQL Queries
Performance Tuning
Database Optimization
Stored Procedures & Packages
Exception Handling
AWS
EC2
S3
IAM
Docker
Kubernetes
Jenkins
Terraform
Ansible
CI/CD Pipelines
Linux
Unix Commands
Shell Scripting
FastAPI
Flask
Git
GitHub
Microsoft Azure
MySQL
HTML
CSS
JavaScript
Excel
Production Support
Application Support
SDLC
Incident Management
Debugging & Troubleshooting

Projects Here you will find some of the personal and clients projects that I created with each project containing its own case study

Software Screenshot

WEB APPLICATION DEVELOPMENT AND DEPLOYMENT WITH CI/CD

This website is a robust platform designed to deliver an integrated media experience, allowing users to seamlessly access Spotify and YouTube content. Developed using HTML, CSS, and JavaScript, it leverages open-source code from GitHub. The platform features a Dockerized environment, published on Docker Hub, and utilizes a CI/CD pipeline with Docker, Jenkins, and Terraform for automated testing and deployment, ensuring high availability on AWS. Version control is maintained through GitHub, and infrastructure is managed using Terraform, with performance optimizations implemented for an optimal user experience.

Case Study
Software Screenshot

TRACING THE LATENCY REPORT OF DATA IN GCP USING KUBERNETS ENGINE FOR IMPROVING THE PERFORMANCE

This project is built using Google Cloud Platform (GCP), Python, Kubernetes Cluster, Containers, Terraform, Load Balancer, and Pub/Sub. It addresses performance issues on GCP, specifically focusing on latency in data processing, and proposes solutions using Kubernetes Engine (GKE).

Case Study
Software Screenshot

FastAPI Authentication & Sales Database Integration

I've developed an authentication portal using FastAPI, which streamlines secure user verification. Once authentication is complete, users are seamlessly redirected to the sales database for efficient data management. This solution leverages FastAPI's robust features to ensure a smooth and secure user experience, integrating authentication processes directly with the sales database for optimal performance and security.

Case Study
Software Screenshot

Multi-Platform Streaming Service Deployment Using Docker and Terraform

In today's digital era, streaming platforms dominate the entertainment landscape. To showcase proficiency in web development, containerization, and infrastructure as code, I developed two popular streaming service clones: Spotify and YouTube. These applications were containerized using Docker and deployed seamlessly using Terraform, ensuring efficient and scalable infrastructure management.

Case Study

Contact Feel free to Contact me by submitting the form below and I will get back to you as soon as possible