Summary
Overview
Work History
Education
Skills
Timeline
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Manoj Goud

Summary

  • Highly motivated Software Development Engineer with 4 years of experience designing and implementing scalable, high-performance distributed systems.
  • Proven ability to tackle complex data challenges, including optimizing relational and NoSQL databases, and leveraging Big Data technologies.
  • Experience in optimizing data storage and processing, coupled with my expertise in cloud-based architectures and microservices.
  • Proficient in Java, AWS, SQL/NoSQL databases, and microservices architecture, with a strong background in big data processing, cloud computing, and performance optimization.
  • Proficient in object-oriented design, microservices, and the full SDLC, including TDD and CI/CD.
  • Excellent communication skills and a collaborative approach, with a proven ability to work effectively with cross-functional teams.
  • Adept at leveraging Service-Oriented Architecture (SOA), caching, load balancing, and multithreading to build reliable and efficient systems.
  • Proficient in database optimization, Big Data technologies, and cloud architectures.
  • Passionate about solving complex problems in supply chain optimization, logistics, and large-scale data processing.
  • Built scalable, event-driven microservices architecture using Spring Boot, AWS ECS, and Kafka, enabling seamless integration across multiple business units.
  • Experienced in SQL and NoSQL data storage systems, improving query performance by 3x and reducing infrastructure costs.

Overview

6
6
years of professional experience

Work History

Senior Software Development Engineer

DXC Technologies
05.2024 - Current
  • Designed and implemented a large-scale, cloud-based distributed system for [Specific industry/application], handling millions of transactions per day with millisecond latency.
  • Built microservices and event-driven architectures that support millions of transactions per second.
  • Designed and developed scalable microservices using Java (Spring Boot) and Python (FastAPI), deployed on AWS Lambda and Kubernetes, ensuring millisecond-level latency for high-volume transactions.
  • Designed ETL pipelines on AWS Glue and Redshift, processing billions of records to generate predictive analytics for demand forecasting.
  • Developed a microservices-based inventory and routing system for a leading e-commerce platform, leveraging Java (Spring Boot), AWS ECS, and PostgreSQL.
  • Built real-time data ingestion pipelines handling billions of records daily using Kafka, Apache Spark, and Redshift, optimizing supply chain data processing efficiency by 40%.
  • Automated CI/CD pipelines using Jenkins and Terraform, enabling continuous integration and deployment with near-zero downtime.
  • Architected and optimized relational and NoSQL database solutions to support high-volume data ingestion and processing.
  • Implemented microservices architecture using [S3, AWS Lambda, AWS App mesh, Dynamo DB] to enhance scalability and maintainability of the system.
  • Used Athena and S3-based data lakes to support big data analytics at scale while optimizing query costs by 50%.
  • Led the refactoring and re-architecture of legacy systems to improve performance and reliability, resulting in a 20% reduction in latency.
  • Contributed to improving team coding culture by implementing code reviews and establishing coding standards.
  • Effectively communicated technical challenges and solutions to both technical and non-technical stakeholders.
  • Optimized SQL queries and database schemas to improve performance and scalability of relational databases.
  • Developed multi-threaded applications in C++ and Java, processing large-scale transportation and logistics data to optimize shipment routes and reduce operational costs.
  • Driven through building distributed systems using AWS services like S3, Lambda, ECS, DynamoDB, and Redshift.
  • Experienced with TDD, CI/CD, and code quality practices , that used in the project.
  • Used Athena and S3-based data lakes to support big data analytics at scale while optimizing query costs by 50%.

Software Engineer

HP
04.2019 - 12.2022
  • Designed and deployed highly available, fault-tolerant services with microservices, event-driven architectures, and caching strategies.
  • Developed and maintained high-performance data processing pipelines using Apache Spark and Hadoop, enabling real-time analytics on large datasets.
  • Designed and implemented scalable data storage solutions using [Specific NoSQL database], optimizing for read/write performance and data consistency.
  • Utilized Test-Driven Development (TDD) and Continuous Deployment practices to ensure high-quality code and rapid deployments.
  • Implemented RESTful APIs for data access and integration with other systems.
  • Experience with SDLC best practices, CI/CD pipelines, test-driven development, and system architecture design.
  • I built a real-time shipment tracking system using AWS Lambda, DynamoDB, and SQS.
  • I optimized data storage using DynamoDB partitioning and caching strategies, significantly improving read performance.
  • Developed a microservices-based inventory and routing system for a leading e-commerce platform, leveraging Java (Spring Boot), AWS ECS, and PostgreSQL.
  • The event-driven architecture (Kafka + AWS EventBridge) improved decision-making and reduced order fulfillment errors by 40%.
  • Implemented partitioning, compression, and Redshift Spectrum for querying S3 data, I achieved a 3x improvement in query performance while cutting costs by 50%.
  • Utilized Git for source control and collaborated with team members on code development and reviews.
  • Proven track record of reducing latency and optimizing cloud infrastructure for large-scale applications.
  • Implemented low-latency solutions using caching, load balancing, indexing, and multithreading.

Education

Bachelors - Electronics and Communication engineering

Vignan Institute of Technology And Sciences
Hyderabad, India

Master's - information technology management

Webster University
San Antonio, Texas

Skills

  • Programming Languages: Java, Python, C (or other relevant languages)
  • Databases: SQL (MySQL, PostgreSQL), NoSQL (Cassandra, MongoDB, DynamoDB)
  • Distributed Systems: Apache Kafka, Apache Spark, Hadoop, MapReduce
  • Cloud Platforms: AWS (EC2, S3, DynamoDB, etc), Azure, GCP
  • Architecture: Microservices, Service-Oriented Architecture (SOA), N-Tier Architecture, Design Patterns
  • CI/CD: Jenkins, Git, Docker, Kubernetes
  • Testing: Test-Driven Development (TDD), Unit Testing, Integration Testing
  • Data Processing: Big Data Analytics, Data Warehousing

Timeline

Senior Software Development Engineer

DXC Technologies
05.2024 - Current

Software Engineer

HP
04.2019 - 12.2022

Master's - information technology management

Webster University

Bachelors - Electronics and Communication engineering

Vignan Institute of Technology And Sciences

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Manoj Goud