Raghu Teja

Software Engineer

Hyderabad, Telangana, India5 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in full-stack development with MERN stack.
Proven track record in optimizing system performance.
Strong foundation in data structures and algorithms.

Stackforce AI infers this person is a Fullstack Developer with expertise in SaaS and high-performance systems.

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Skills

Core Skills

JavaPythonAwsArduino

Other Skills

Amazon Web Services (AWS)Competitive ProgrammingData StructuresDatabase Management System (DBMS)ElasticsearchGitInternet of Things (IoT)MERN StackNext.jsNode.jsObject-Oriented Programming (OOP)Problem SolvingPython (Programming Language)React.jsSpring Boot

About

Hi! I’m Teja, I'm a Software Engineer at Oracle, previously an SDE Intern at Amazon, with a strong background in building scalable, high-performance systems. I specialize in full-stack development using the MERN stack, Java, and TypeScript, and have a solid foundation in data structures and algorithms, with a LeetCode rating of 2000+. My experience spans developing robust backend services and dynamic web applications using technologies like React, Node.js, Express, MongoDB, and PostgreSQL. I'm passionate about turning complex challenges into elegant, efficient solutions and continuously strive to learn, build, and improve.

Experience

Oracle

Software Engineer

Jul 2024 – Present · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

Built custom performance dashboards by extracting GitLab CI data using Python, storing metrics in OpenSearch, and creating visualizations in Oracle Analytics Cloud (OAC).
Reduced integration time by 30% and improved developer efficiency by 20% through automated performance monitoring solutions.
Designed and implemented a Helidon-based test runner for the SSTF framework, fully automating previously manual test execution and reducing testing time by 40%

JavaPython (Programming Language)ElasticsearchPython

Amazon

SDE

Jan 2024 – Jun 2024 · 5 mos · Hyderabad, Telangana, India · On-site

Developed an AWS Glue Job to backfill 6+ billion records from PTRS Andes Table to DynamoDB, leveraging S3, Lambda, and SQS for efficient data processing
Implemented DefectEventProcessorLambda to automatically update defect statuses in RepeatDefectDataStore, reducing manual intervention and ensuring timely defect closure
Enhanced AMS with non-thread-safe methods for foot.d, zip4getcode, and zip4enhancedreturncode, improving system performance and operational efficiency
Optimized delivery blocking functionality in GAMUSPSAttributesRefresher, streamlining package delivery operations
Worked with large-scale distributed systems processing billions of records with high availability and fault tolerance

JavaAmazon Web Services (AWS)Spring BootTypeScriptAWS