Cloud Computing Process Engineer

PRATIK PURUSHOTTAM MAYEKAR

ELECTRONICS ENGINEER

*****************@*****.*** 876-***-**** Mulund,Mumbai CAREER SUMMARY:

Highly motivated Electronics and Communication Engineer with a passion for driving innovation and efficiency in IT operations. Seeking a challenging position to leverage my skills in cloud computing and automation to architect and manage scalable cloud solutions, while contributing to the design and implementation of robust CI/CD pipelines and Docker/Kubernetes deployments.

Siemens

Process Engineer (Apprenticeship) 07 February, 2023 - 07 February, 2024 Collaborated with cross-functional teams to upgrade SMT & THT assembly processes, boosting pass rate by 15% and reducing rejection rate by 20%.

Investigated and resolved process abnormalities, cutting production downtime by 30% and enhancing operational efficiency.

Designed and executed tests to improve manufacturing processes, resulting in a 25% increase in product quality.

Managed critical production materials, ensuring optimal utilization and cost-saving measures. Collaborated with engineering teams to verify PCB designs, ensuring accuracy and compliance. Monitored machine parameters and program settings, identifying optimization opportunities to enhance production output.

C7 Solutions

IT Service Engineer 01 January, 2022 - 01 January, 2023 Provided technical support to clients, resolving hardware, software, and networking issues promptly.

Analyzed IT infrastructure to identify vulnerabilities, achieving a 20% increase in system uptime. Collaborated with clients to deliver tailored IT solutions, earning high praise and satisfaction. Conducted end-user training sessions, reducing IT support requests by 15%. TCS

Operated SMT line, managing loading, parameters, and error handling. Conducted PCB testing including HV testing and firmware installation. Performed root cause analysis on production failures, implementing corrective actions. Contributed to testing procedure development, reducing testing time by 30%. Executive Post Graduation - Cloud Computing

2023 - 2024 Indian Institute Of Technology Roorkee Cloud Technologies: Amazon Web Services

(AWS), Microsoft Azure

Infrastructure as Code: Terraform

Containerization: Docker, Kubernetes

CI/CD Tools: Jenkins, GitLab CI/CD

Version Control: Git

Programming: Python, Bash Scripting

Technician 1 June, 2017 - 30 October, 2017

WORK EXPERIENCE:

EDUCATION:

SKILLS:

Bachelor of Computer Science - Software Engineering 2018 - 2021 Agnel Institute Of Technology And Design Networking: TCP/IP, DNS, Load Balancers

Monitoring and Logging: Prometheus, Grafana,

ELK Stack, CloudWatch

Configuration Management: Ansible, AWS

CloudFormation, Azure Resource Manager

(ARM)

Automated Cloud Infrastructure and CI/CD Pipeline Setup Designed and implemented an automated infrastructure setup for IntelliKart to transition from on- premises to AWS Cloud. The goal was to achieve high availability, scalability, and reliability for their web application, incorporating modern DevOps practices. Infrastructure Provisioning:

Created a Terraform Master instance and used Terraform to provision a VPC, subnet, and three EC2 instances (Jenkins Master, Kubernetes Master, Kubernetes Slave) in AWS. Configuration Management:

Automated the installation and configuration of Jenkins, Kubernetes, and Docker using Ansible. Configured Jenkins to manage Kubernetes deployments effectively and integrated the setup for continuous integration and deployment.

CI/CD Pipeline:

Forked and containerized a static website repository using Docker. Created and configured a Jenkinsfile for automated build, push, and deployment processes. Deployed Kubernetes manifests for scaling and managing the application, ensuring seamless updates and deployments.

Academic Project February, 2023 - March, 2024

Key Achievements:

PROJECTS:

Objective:

Technologies Used:

Cloud Platform: AWS

Infrastructure as Code: Terraform

Configuration Management: Ansible

Continuous Integration/Continuous Deployment (CI/CD): Jenkins Containerization: Docker

Container Orchestration: Kubernetes

Monitoring and Alerts: AWS CloudWatch, AWS SNS

Monitoring and Alerts:

Implemented AWS CloudWatch for monitoring resource performance and AWS SNS for alerting based on predefined metrics, enhancing system reliability and operational oversight. Results:

Achieved a highly available, scalable infrastructure with automated deployment and monitoring. Reduced manual intervention and potential errors through automation, improving overall system reliability and performance.

Contact this candidate