Nischal Aryal

About Nischal Aryal

Software Engineer with 5+ years of experience in designing, developing, and deploying cloud-native applications, with a strong focus on AWS services like EC2, S3, Lambda, RDS, DynamoDB, EMR, and CloudFormation. Proficient in building microservices using Spring Boot, Spring Cloud, and Spring Framework, ensuring scalability and high availability. Skilled in big data processing with Hadoop and AWS EMR, and implementing infrastructure as code using Terraform. Experienced in real-time data streaming with Kafka, containerization with Docker and Kubernetes, and automating CI/CD pipelines via Jenkins and GitHub Actions. Strong expertise in monitoring and observability using Splunk, Prometheus, and Grafana. Passionate about delivering innovative, cost-efficient solutions by leveraging the power of AWS and modern development practices.

Experience

1. Java Aws Engineer

   JPMorganChase

   Nov 2023 — Present · Plano, TX, US

   Automated AWS infrastructure setup using Terraform for services like S3, Lambda, and VPCs, ensuring 100% compliance with IaC best practices. • Migrated Big Data batch jobs from on-premise Hortonworks to AWS EMR, utilizing Apache Spark and Hadoop for optimized data processing and improved scalability.• Designed and orchestrated complex batch workflows using AWS Step Functions and Control-M, ensuring reliable and fault-tolerant execution of data processing jobs.• Implemented event-driven architecture using Apache Kafka for messaging and real-time communication between on-premises systems, ensuring decoupled, scalable, and resilient workflows.• Managed and governed datasets using AWS Lake Formation, enabling secure, centralized, and role-based access control for data lakes integrated with AWS Glue for serverless ETL.• Designed and implemented complex SQL queries in Apache Spark for ETL operations, enabling transformation, aggregation, and analysis of large-scale datasets.• Developed shell scripts to automate and execute batch job workflows, improving operational efficiency and reducing manual interventions.• Deployed and managed a containerized Spring Boot application using ECS Fargate integrated with an Application Load Balancer (ALB) for auto-scaling, fault tolerance, and high availability.• Leveraged AWS CloudWatch for monitoring cloud infrastructure and integrated Splunk, Prometheus, and Grafana for log aggregation, real-time metrics visualization, and proactive alerting.• Implemented and maintained CI/CD pipelines using Jenkins, Jules, and Spinnaker to automate build, test, and deployment workflows, ensuring seamless code integration and faster releases.

Education

• Maharishi International University

  Master's degree

  2023 — 2024