Nihar Tripathi Email & Phone Number

Harrison, Nj, Us

Harrison, Nj, Us

Developed and optimized ETL pipelines using Python and AWS Glue to automate data workflows, enhancing scalability and operational efficiency.Designed and deployed RESTful APIs to facilitate seamless data integration and interoperability between systems.Managed AWS infrastructure to ensure optimized resource allocation, security, and performance across all cloud services.Automated CI/CD pipelines using Jenkins, Docker, and GitLab, significantly improving deployment speed and system reliability.Led DevOps initiatives by implementing infrastructure automation, monitoring solutions, and improving system uptime.Collaborated with data science teams to deploy machine learning models into production, enabling real-time insights and driving predictive analytics for informed business decisions.

Basking Ridge, New Jersey, United States

Built and automated resilient ETL pipelines using Python and AWS Lambda, optimizing data extraction, transformation, and loading across cloud systems, ensuring scalability and seamless integration with distributed data workflows.Engineered and managed MySQL and PostgreSQL databases, enabling efficient data storage and processing for large- scale applications, while ensuring data integrity, optimized query performance, and high availability.Developed RESTful and FastAPI-based backend services to automate workflows and enable efficient data exchange between cloud services and internal systems, improving cross-platform interoperability and reducing latency.Deployed and maintained scalable cloud-based storage solutions using AWS EC2, S3, and RDS, optimizing performance, ensuring high availability, and delivering cost-efficient infrastructure for large-scale, data-driven applications.Automated cloud infrastructure provisioning using CloudFormation and Terraform, significantly reducing manual intervention, improving deployment speed, and ensuring consistent, reliable resource allocation across AWS environments.Designed and implemented microservices architecture with FastAPI, enhancing the scalability, fault tolerance, and maintainability of backend services, supporting high-volume, distributed data processing workflows.Streamlined DevOps processes by optimizing CI/CD pipelines using Jenkins and Docker, automating the build, testing, and deployment cycles, leading to faster, error-free releases and improved system stability.Configured and monitored AWS CloudWatch and ElasticSearch for real-time logging, application performance monitoring, and proactive issue detection, ensuring system reliability and early identification of potential problems.

I specialize in building scalable, high-performance data systems using AWS and modern DevOps practices. My expertise spans ETL pipeline development, API creation, cloud infrastructure management, and CI/CD automation, all aimed at driving operational efficiency and seamless data workflows.•Supported the development and deployment of ETL pipelines using AWS services like Lambda, Glue, and S3, enhancing data integration capabilities and optimizing workflows for data processing and engineering operations.•Automated routine data transformation tasks with Python, improving workflow efficiency, reducing manual intervention, and ensuring consistent and reliable data processing across cloud environments.•Deployed and managed Docker containers to ensure consistent environments across development, staging, and production, minimizing deployment discrepancies and boosting reliability.•Managed Git workflows, overseeing repository maintenance and version control to enhance collaboration and streamline integration and deployment processes.•Collaborated with senior developers to optimize DevOps workflows, automating infrastructure deployment to improve system reliability, minimize downtime, and enhance resource management.•Implemented and managed CI/CD pipelines using GitLab CI and Jenkins, automating testing, integration, and deployment for smoother development operations and faster release cycles.•Built and deployed high-performance backend services using FastAPI, significantly improving API response times and overall system throughput for rapid backend development.•Optimized cloud infrastructure using AWS ECS and Lambda, deploying microservices in containers and serverless environments to ensure scalability and efficient resource utilization.•Monitored application performance with AWS CloudWatch and ElasticSearch, enabling proactive issue detection and ensuring high system uptime with rapid resolution of performance bottlenecks.

Ahmedabad, Gujarat, India

Assisted in the design and implementation of Django-based web applications, collaborating with senior developers to build scalable and maintainable systems aligned with business objectives.Developed and integrated RESTful APIs to optimize data retrieval, enabling real-time data processing and enhancing cross-application communication.Led efforts in cleaning and preprocessing large datasets using Python scripts, improving data quality for analytics, reporting, and decision-making, while streamlining data workflows.Contributed to debugging and code optimization, diagnosing and resolving application-level issues to ensure smooth system performance and minimize downtime.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering - Be, Information Technology

Education record

Master'S Degree, Computer Science