Summary
Overview
Work History
Education
Skills
Timeline
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Venubabu G

Arlington,Texas

Summary

  • Six years of experience in full-stack development, including work in the automotive, financial, and technology industries.
  • Expertise in software development covering backend development, RESTful API design, and microservices architecture using Java and Spring Boot.
  • Strong background in frontend development using Angular for building interactive dashboards and real-time monitoring applications.
  • Skilled in database design and optimization, working with Oracle, PostgreSQL, and Cassandra for high-performance data management.
  • Extensive experience with AWS services, including S3, Kinesis, Glue, SQS, SNS, EventBridge, and Lambda for scalable and event-driven applications.
  • Proficient in Azure services such as Azure Functions, Event Hub, and CosmosDB for hybrid cloud solutions. Experience in event-driven architecture using Kafka for real-time data processing and messaging.
  • Hands-on experience with DevOps and CI/CD automation using Jenkins, Terraform, and Ansible for deployment and infrastructure management.
  • Strong knowledge of Kubernetes and container orchestration using AWS EKS and Azure AKS. Experience in big data processing and analytics using Apache Spark and AWS Glue for large-scale data transformation. Proficient in scripting with Shell and Bash for system automation and log processing.
  • Site reliability engineering experience with monitoring and logging tools such as CloudWatch, ELK Stack, and Dynatrace.
  • Experience working in Agile and Scrum methodologies, collaborating with cross-functional teams for iterative development and feature rollouts.
  • Strong problem-solving skills, optimizing system performance, reducing latency, and improving scalability in cloud-native applications.
  • Experience integrating authentication and security best practices, including OAuth2, JWT, and role-based access control for enterprise applications.
  • Coaching cross-functional teams on the implementation of software development methodologies for improved feature roadmap execution.
  • Problem definition and proactive engagement in product management to guide solution development. Approachability and guidance on technical challenges while mentoring junior developers.
  • Investigate industry trends and participate in professional publications. Articulating technical information to non-technical stakeholders for better understanding and influence on project direction.
  • Responsibility in leading teams and facilitating discussions around development tools. Leadership in defining and implementing system specifications to align with business objectives and ensure quality delivery.
  • Negotiate project timelines and deliverables with stakeholders and team members. Recognizing the importance of continuous improvement, I focus on enhancing software quality.
  • Serving as a consultant to my peers, offering advice on the best practices in software development. Implementing new technology consistently to remain competitive in the industry.
  • Programming in multiple languages, including Java, and adapting to various programming languages as needed. Leveraging my knowledge of operating systems and network configurations to develop robust applications that meet customer needs.

Overview

7
7
years of professional experience

Work History

Software Engineer

Fidelity
08.2022 - Current
  • Worked on a payment processing system to handle real-time transactions, batch payments, and automated fund transfers.
  • Developed and maintained backend services for payment authorization, settlement, and transaction tracking.
  • Ensured high availability, fault tolerance, and compliance with industry standards.
  • Integrated event-driven architecture for real-time transaction processing and scalability.
  • Built and optimized RESTful APIs for secure and high-speed payment transactions.
  • Designed and implemented database architecture using Oracle and Cassandra to store transactional and audit data.
  • Developed and maintained backend services using Java and Spring Boot, ensuring scalable and efficient payment processing.
  • Developed CRUD operations for managing payment records, user transactions, and fund transfers.
  • Integrated Kafka for event-driven transaction processing, ensuring reliability and scalability.
  • Worked with AWS services including S3, Kinesis, Glue, SQS, SNS, EventBridge, and Lambdas for event-driven data processing and cloud storage.
  • Used Azure Functions, Event Hub, and CosmosDB to support hybrid cloud integration.
  • Developed batch data processing pipelines using Apache Spark and AWS Glue for large-scale payment data analysis.
  • Implemented DevOps best practices using Jenkins, Terraform, and Ansible for automated deployment and monitoring.
  • Ensured site reliability by implementing real-time monitoring and alerting using ELK Stack, Dynatrace, and CloudWatch.
  • Developed data ingestion pipelines using Apache NiFi and AWS Kinesis for financial transaction records.
  • Ensured high availability and auto-scaling using Kubernetes on AWS EKS and Azure AKS.
  • Wrote shell and bash scripts to automate system maintenance, log analysis, and data migration tasks.
  • Performed load testing using Gatling and JMeter to validate API performance under heavy traffic.
  • Developed Angular-based UI components for internal dashboards to monitor transactions and system health while participating in coaching sessions on UI/UX best practices.
  • Managed infrastructure as code using Terraform for AWS and Azure deployments.
  • Conducted data migration from legacy systems to Cassandra and PostgreSQL for improved performance and scalability.
  • Followed Agile and Scrum methodologies, collaborating with cross-functional teams for sprint planning and iterative development.

Software Engineer

Ford
10.2018 - 07.2022
  • Worked on a vehicle performance and monitoring system for Ford, designed to track real-time vehicle diagnostics, optimize maintenance schedules, and improve fleet efficiency.
  • Collected data on engine performance, fuel efficiency, tire pressure, and battery status, providing predictive maintenance alerts and remote diagnostics for fleet managers and vehicle owners.
  • Developed backend microservices using Java and Spring Boot to process vehicle telemetry data.
  • Designed and implemented RESTful APIs for secure communication between vehicles, cloud storage, and monitoring dashboards.
  • Built an event-driven architecture using Kafka to process real-time vehicle health and performance metrics.
  • Designed and optimized database architecture using Oracle for structured vehicle data and Cassandra for high-frequency telemetry storage.
  • Developed CRUD operations for managing vehicle records, maintenance history, and remote diagnostics.
  • Integrated AWS services include S3 for data storage, Kinesis for real-time streaming, Glue for ETL processing, SQS and SNS for messaging, EventBridge for automation, and Lambda for serverless analytics.
  • Implemented batch data processing using Apache Spark to analyze long-term vehicle performance trends and detect early warning signs of component failure.
  • Developed site reliability engineering (SRE) monitoring using CloudWatch, ELK Stack, and Dynatrace to track system uptime and telemetry processing.
  • Built DevOps pipelines using Jenkins, Terraform, and Ansible for automated deployments and infrastructure management.
  • Ensured high availability and scalability using Kubernetes on AWS EKS.
  • Wrote shell and bash scripts to automate log processing, error detection, and cloud resource management.
  • Developed an Angular-based dashboard for fleet managers and service technicians to monitor vehicle health and receive predictive maintenance alerts.
  • Followed Agile and Scrum methodologies, collaborating with cross-functional teams for iterative development and feature rollouts, while providing guidance and mentoring to new team members.
  • Also engaged in presentation skills to effectively communicate solutions to both technical and non-technical stakeholders.

Education

Master of Science - Information Technology & Management

Indiana Wesleyan University

Skills

  • Java
  • Spring Boot
  • Angular
  • Bash
  • RESTful APIs
  • Microservices
  • Kafka
  • Oracle DB
  • Cassandra DB
  • PostgreSQL
  • MySQL
  • NoSQL
  • AWS (S3, Kinesis, Glue, SQS, SNS, EventBridge, Lambda )
  • Azure (Functions, Event Hub, CosmosDB)
  • Terraform
  • Ansible
  • Apache Spark
  • CloudWatch
  • ELK Stack
  • Dynatrace
  • Kubernetes (AWS EKS, Azure AKS)

Timeline

Software Engineer

Fidelity
08.2022 - Current

Software Engineer

Ford
10.2018 - 07.2022

Master of Science - Information Technology & Management

Indiana Wesleyan University

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Venubabu G