NAGA VENKATA MUKESH LAKKOJU
Jersey City, NJ +1-609-***-**** *****************@*****.*** LinkedIn Portfolio PROFESSIONAL SUMMARY
Results-oriented Cloud Engineer with hands-on experience designing, automating, and managing scalable, secure, and high-availability cloud infrastructures. Proficient in AWS, Azure, and GCP, with strong expertise in infrastructure as code (Terraform, CloudFormation), CI/CD pipelines (Jenkins, GitHub Actions), and container orchestration (Docker, Kubernetes). Skilled in developing automation scripts using Python and Bash to optimize cloud resource utilization and streamline deployments. Adept at implementing monitoring, logging, and cost optimization frameworks using CloudWatch, Prometheus, and Grafana to improve performance and system reliability. Recognized for enhancing cloud security, reducing operational overhead, and delivering resilient infrastructure solutions in agile, fast-paced environments. TECHNICAL SKILLS
Programming Languages: Python, Java, C++, JavaScript, SQL, HTML, CSS, JSON, XML Frameworks & Libraries: Flask, FastAPI, Spring Boot, React.js, Node.js, Pandas, NumPy Backend & API Development: RESTful API Design, Microservices Architecture, Database Modelling, CRUD Operations, Authentication & Authorization
Cloud & Platform Services: AWS (EC2, S3, RDS, Lambda, CloudFormation, CloudWatch), Azure (VMs, App Services), GCP (Compute Engine, Cloud Storage)
DevOps & CI/CD Tools: Jenkins, GitHub Actions, Docker, Terraform, Ansible, Infrastructure as Code (IaC), Kubernetes (EKS), Continuous Integration & Delivery Pipelines
Databases: PostgreSQL, MySQL, MongoDB, SQLite
Testing & Quality Assurance: PyTest, JUnit, Selenium, Postman, Integration Testing, Unit Testing, Code Review, Debugging Monitoring & Observability: Prometheus, Grafana, ELK Stack, CloudWatch, Log Analysis, Alert Management Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket, Jira, Confluence, Agile/Scrum Methodologies PROFESSIONAL EXPERIENCE
Data Engineer Volunteer Aug 2025 – Present
Bright Mind Enrichment & Schooling Remote
• Designed and deployed scalable backend systems using Python (FastAPI, Flask) and PostgreSQL, enabling real-time data access and improving API throughput by 45% across education platforms.
• Automated ETL workflows with Apache Airflow and SQLAlchemy, ensuring seamless synchronization between multiple data pipelines and reducing manual intervention by 40%.
• Built and managed data lake and warehouse integrations on AWS (S3, Redshift, Lambda), improving reporting efficiency and reducing query latency by 30%.
• Developed microservices and REST APIs to support data-driven applications, standardizing data exchange across departments and improving reusability of backend components.
• Implemented CI/CD pipelines through Jenkins and GitHub Actions, integrating testing, containerization, and automated deployments to cut release cycles by 28%.
• Enhanced system monitoring and observability using Prometheus, Grafana, and CloudWatch, improving real-time visibility and reducing mean time to resolution (MTTR) by 25%.
• Optimized data validation and testing frameworks with PyTest and Great Expectations, achieving 90% coverage and ensuring consistency across analytical datasets.
• Collaborated with data analysts and DevOps teams to transition monolithic applications into microservice and data pipeline architectures, improving scalability and cloud cost efficiency. AWS Cloud Engineer Jun 2022 – Aug 2023
Tata Consultancy Services Client: Signify VF Corp Hyderabad, India
• Developed and maintained backend applications using Python, Java, and REST APIs, ensuring 99.9% uptime and seamless data processing for business-critical workflows across AWS-hosted environments.
• Optimized SQL queries, stored procedures, and indexing strategies, improving database query performance and cutting data retrieval times by 40% across analytical workloads.
• Automated infrastructure provisioning through AWS CloudFormation and Python scripting, standardizing environment setup and reducing deployment time by 35%.
• Designed and implemented CI/CD pipelines using Jenkins and AWS CodePipeline, integrating automated testing and build validation to achieve zero-downtime deployments.
• Built scalable RESTful API components with authentication, versioning, and logging frameworks, improving code reusability and maintaining consistent communication between services.
• Enhanced system reliability by integrating AWS CloudWatch alerts and Lambda-based monitoring, enabling early anomaly detection and cutting incident response time by 30%.
• Collaborated with frontend and DevOps teams to align API structures with cloud infrastructure, improving cross-system data flow and enhancing application responsiveness.
• Conducted production debugging, log tracing, and release validation using Python and SQL scripts, ensuring stable software rollouts and error-free deployments across multiple environments. AWS Cloud Admin Jul 2022 – Jun 2023
Tata Consultancy Services Client: NXP Hyderabad, India
• Designed and deployed RESTful APIs using Python, Flask, and PostgreSQL, streamlining communication across microservices and improving data exchange efficiency by 25%.
• Built asynchronous processing systems with Celery and Redis, enabling background job execution for heavy workloads and reducing API response times by 40%.
• Enhanced software reliability through PyTest and Postman integration, developing automated test suites that reduced production defects by 30%.
• Tuned MySQL and PostgreSQL query performance with indexing, caching, and connection pooling, improving data retrieval and scalability across services.
• Containerized development environments with Docker, standardizing configurations across teams and accelerating developer onboarding by 35%.
• Automated infrastructure provisioning and pipeline execution using Terraform and GitHub Actions, improving environment consistency and reducing manual setup effort.
• Collaborated in Agile sprint planning and peer code reviews, contributing to modular backend architectures and improved sprint delivery timelines.
• Authored detailed API documentation and technical design guides, enabling faster integration and smoother knowledge transfer across cross-functional teams.
PROJECTS
Cloud Infrastructure Automation and Governance
• Developed backend automation workflows using Python, AWS CLI, and CloudFormation to manage EC2 provisioning, AMI creation, and snapshots, reducing setup effort by 45%.
• Implemented secure access management with IAM roles, MFA, and fine-grained policies, enhancing system reliability and improving audit compliance across environments.
• Integrated AWS Systems Manager Maintenance Windows to automate zero-downtime patching for Linux and Windows servers, ensuring uninterrupted application performance.
Cloud Performance Optimization and Monitoring Framework
• Engineered a monitoring framework using AWS CloudWatch, Compute Optimizer, and SNS, improving application observability and reducing MTTR by 30%.
• Designed automation scripts in Python for EBS gp2-to-gp3 migration, EC2 right-sizing, and idle resource cleanup, lowering cloud operating costs by 20%.
• Built multi-environment dashboards with CloudWatch metrics and structured logs, providing real-time insights into system performance across Dev, QA, and Production.
Cloud Operations Reliability and Cost Management
• Developed scalable backend infrastructure with load balancers, auto-scaling groups, and Route53, maintaining 99.9% uptime for high-traffic applications.
• Secured data pipelines by integrating S3 encryption, TLS policies, and restricted access, ensuring compliance with security and privacy standards.
• Automated patching, backup, and encryption tasks using AWS SSM and CloudFormation, improving resource utilization and reducing maintenance workload.
EDUCATION
Master of Science in Information Systems Aug 2023 – May 2025 Stevens Institute of Technology Hoboken, NJ
Bachelor of Technology in Computer Science and Engineering Jul 2018 – May 2022 Karunya Institute of Technology and Sciences Tamil Nadu, India CERTIFICATIONS
• AWS Certified Solutions Architect Associate - Amazon Web Services
• AWS Certified Cloud Practitioner - Amazon Web Services
• Microsoft Azure Fundamentals – Microsoft
• Software Design and Architecture – Coursera
• Python for Everybody – Coursera
• Cloud Computing Foundations – LinkedIn Learning