LAGISHETTY PRANAV

Software Developer

Hyderabad, India 2+ yrs exp 85 · Excellent

About

Results-driven Software Engineer skilled in backend development, REST APIs, and distributed systems, with growing experience across Java and Python microservices ecosystems.

Skills & Expertise (37)

AWS Advanced

8.5/10

Years Exp

Microservices Architecture Advanced

8.5/10

Years Exp

Spring Boot Advanced

8.5/10

Years Exp

RESTful APIs Advanced

8.5/10

Years Exp

Python Advanced

8.0/10

Years Exp

Git Advanced

8.0/10

Years Exp

Spring Advanced

8.0/10

Years Exp

Java Advanced

7.5/10

Years Exp

Agile Advanced

7.0/10

Years Exp

SQL Advanced

7.0/10

Years Exp

Docker Advanced

7.0/10

Years Exp

Django Intermediate

6.0/10

Years Exp

Swagger EKS GCP SNS JUnit Mockito Unit & Integration Testing SonarQube Maven Gitlab Scrum SQS S3 Lambda API versioning Kafka Sub Pub Event-Driven Architecture Indexing Data Store Postgresql MySql Python scripts RPC

Work Experience

Software Developer

EPAM Systems

Jun 2024 - Present

Developed RPC-based backend services supporting enterprise scheduling workflows. Authored end-to-end RPC functional tests covering ~10 core functionalities, uncovering a critical data-misreading defect and resolving it, correcting a flow-impacting issue across the system. Identified and resolved a P0 production issue caused by a data-handling discrepancy on the consuming side of a Pub/Sub integration, which was causing downstream systems to receive inaccurate device data; partnered closely with the receiving team to diagnose the root cause, jointly validated the fix through RPC testing in the staging environment, and corrected the affected historical records. Resolved multiple additional production bugs and provided ongoing support including log analysis, debugging, and hotfix deployments.

Spring Boot Microservices Developer

Local Goods

Present - Present

Built a microservices-based backend platform connecting local farm suppliers with consumers using secure Spring Boot APIs. Designed and implemented RESTful CRUD APIs using Spring Boot for core resource management. Implemented user registration and authentication using Spring Security and JWT, including an email-verification feature with automated email notifications and input validation, following SOLID and clean code practices. Designed normalized MySQL schemas applying SOLID principles for scalable architecture.

Backend Engineer

Enterprise Printer & Media Infrastructure Management Platform

Present - Present

Sole backend engineer managing a distributed fleet of 20K+ enterprise printers and global AV/infrastructure deployment systems, serving 10K+ users and processing 125K+ RPC operations/month. Led RPC-based OneDevice integration (Create, Update, Delete, Republish), reducing cross-system state inconsistencies and concurrent update conflicts by 3x. Designed versioned RPC endpoints enabling backward-compatible rollouts and architected Long Running Operations (LROs) with asynchronous polling to eliminate blocking workflows. Engineered pre-put and post-put hooks ensuring atomic cross-application synchronization and consistent device state across enterprise systems. Optimized database queries and pagination, reducing load time for bulk datasets (~12K records). Increased automated test coverage to 98%+ through legacy service refactoring and structured documentation. Owned end-to-end production deployments, monitoring, incident debugging, and hotfix releases, with complete ownership.

Python Developer

RTO Compliance Automation Platform

Present - Present

Independently designed and built an end-to-end RTO (Return-to-Office) compliance automation system tracking attendance and compliance for employees working from ODCs. Automated data retrieval from SharePoint using Microsoft Graph Explorer API and integrated with PostgreSQL for centralized compliance data storage. Built automated email workflows to send weekly attendance and compliance status reports directly to employees. Developed trend and insight reporting for leadership visibility into organization-wide compliance status. Deployed and managed the application on AWS - Lambda (scheduled jobs), EventBridge (job scheduling), Secrets Manager (secure credential storage), CloudWatch (monitoring & logging), and S3 (storage). Independently owning the full deployment lifecycle. Built entirely using standalone Python automation scripts, end to end, without dedicated infrastructure support.