Information Technology Cloud Infrastructure

Somya Sharma

CLOUD DEVOPS ENGINEER

California 714-***-**** *****.***********@*****.*** linkedin.com/in/somyasharma-cloud-devops-engineer/ https://github.com/Somya02

Over 4+ years of experience in the Information Technology industry in various roles with excellent experience in Software Integration, Configuration, Build & Release management, and Development for several markets driven international organizations.

Proficient in automating cloud infrastructure and CI/CD pipelines using Python, Bash, and PowerShell, enabling efficient deployment, configuration management, and system monitoring across multi-cloud environments.

Experienced in all phases of the software development life cycle (SDLC) with specific focus on the build and release of quality software and have experience with methodologies like Waterfall, Agile and Scrum.

Database management specialist with proficiency in MySQL, PostgreSQL, Amazon RDS, and DynamoDB, ensuring high levels of data integrity and optimized performance.

Expertise in DevOps tools including Amazon Web Services (AWS, Amazon EC2, EBS and S3 Storage), Ansible, Docker, Jenkins, Terraform, GitHub, Kubernetes, and Linux. Hands-on experience with infrastructure as code (IaC), containerization, and configuration management.

Implemented advanced AWS IAM role and policy configurations to enforce the principle of least privilege, fortifying security postures and ensuring rigorous compliance with industry standards.

Experience in cloud infrastructure and data processing workflows using Azure services, including Azure Virtual Machines, Blob Storage, Azure Data Factory, Databricks, and Azure Kubernetes Service (AKS), leading to enhanced scalability, cost-efficiency, and accelerated deployment cycles across multiple projects.

Strong experience designing and implementing fully automated Continuous Integration (CI), Continuous Delivery, Continuous Deployment (CD) pipelines and DevOps processes for Agile projects.

Led containerization initiatives using Docker and Kubernetes, implementing orchestration and immutable infrastructure, while proficient in container lifecycle management, including snapshots, attachment, removal, directory structures, images and Docker file based virtualization.

Adopted practices like Test-Driven Development (TDD), continuous integration, and retrospectives to enable rapid delivery of new features.

PROFESSIONAL EXPERIENCE

Student Assistant Aug 2023 – May 2024

College of Business IT Department, CSULB Long Beach, California

Structured and transformed raw data into Power BI models, significantly enhancing data visualization capabilities and driving deeper insights into over 50 key business metrics and trends.

Mentored undergraduate students in statistics and probability, strengthening their foundation for AI coursework and boosting their preparedness for advanced computational challenges.

Automated data cleaning and pre-processing workflows by developing custom Python scripts, reducing manual preparation time and improving data accuracy by 20%.

Engineered backend solutions in Python, developing 15 RESTful APIs to streamline communication between frontend and backend systems, ensuring efficient and reliable data processing.

Utilized Azure Data Factory and Azure Databricks to orchestrate and process large datasets exceeding 1 million records, leveraging advanced data science techniques such as statistical modeling and machine learning to extract actionable insights that informed strategic business decisions.

Deployed and managed scalable cloud infrastructure on Azure, utilizing services such as Azure Virtual Machines, Blob Storage, and Azure Kubernetes Service AKS for container orchestration, ensuring secure, scalable, and cost-effective environments for data processing, application deployment, and continuous integration/continuous delivery CI/CD.

Implemented Azure DevOps for continuous integration and deployment CI/CD, managing code repositories, facilitating seamless collaboration across teams, automating testing and deployment pipelines, and reducing deployment errors by 20%.

Technical Solutions Consultant DevOps Engineer Jan 2020 - Jul 2022

Hewlett Packard Enterprise (HPE) Bengaluru, India

Led the implementation of DevOps practices, automating over 20 manual processes using CI/CD tools like Jenkins and GitLab across Unix/Linux and Windows platforms, streamlining workflows and improving efficiency.

Designed and managed GIT repositories, access control strategies, and views, proactively resolving merge conflicts to ensure seamless version control and collaboration.

Integrated 7 automation tools, including Ansible, Jenkins, and AWS, to drive CI/CD within an Agile framework, boosting deployment frequency by 25%.

Architected and deployed AWS solutions, leveraging EC2, S3, ELB, and Auto Scaling groups with a focus on IAM to create secure and scalable accounts, roles, and groups.

Managed servers across traditional and cloud-based environments, utilizing Ansible for streamlined configuration management and enhanced server reliability.

Administered web applications, global configurations, users, firewalls, and mount points using Ansible, optimizing system administration and reducing configuration errors.

Managed the installation and configuration of Jenkins master servers, supporting over 25 applications and maintaining CI pipelines across multiple project branches, ensuring smooth and continuous integration.

Orchestrated the build and deployment of microservices using Jenkins pipelines, deploying to Docker registries and managing 25 Kubernetes Pods for scalable application environments.

Established Secure Sockets Layer (SSL) communication between web and application servers, enhancing security and protecting data integrity.

Developed and implemented dashboards in Nagios and CloudWatch to monitor end-user response time and requests, reducing system downtime by 20% and ensuring optimal performance.

Developed an internal asset management tool using Python, Flask, SQL Server, and React.js, managing assets for over 20 employees and improving accuracy by 30%.

Automated cloud infrastructure with Ansible and Python, significantly improving system reliability and operational efficiency.

Deployed and managed over 10 applications with Docker and Kubernetes, enhancing scalability and improving operational management across environments by 35%.

Installed and managed Jenkins CI tools on Linux, configuring pipelines to deploy microservice builds to Docker registries and managing Pods in Kubernetes for efficient and scalable deployments.

Industrial Training IT Intern Jul 2019 - Dec 2019

Himachal Pradesh Power Transmission Corporation Limited Shimla, India

Worked with cross-functional teams to ensure compliance with government regulations, security protocols and application stability.

Successfully assisted in migrating legacy systems to SAP, increasing data accuracy by 30% and reducing processing time by 25%.

Deployment Engineer Intern Jan 2019 - Jun 2019

Hewlett Packard Enterprise (HPE) Bengaluru, India

Oversaw the installation, configuration, and maintenance of 3PAR Storage Devices, ensuring high reliability and optimal performance at client sites.

Delivered consultative on-call support, managing incidents and maintaining 99.9% uptime on Linux OS systems, ensuring continuous and reliable operations.

Contributed to the deployment and configuration of cloud infrastructure using Azure, enabling scalable and resilient environments for enhanced system reliability.

Facilitated the migration of 7 on-premises applications to cloud platforms, ensuring minimal downtime and seamless integration with existing infrastructure.

Deployed Prometheus and Grafana for Application Performance Monitoring (APM) in Kubernetes, enabling real-time tracking of key metrics for effective troubleshooting and system optimization.

Employed Terraform for Infrastructure as Code (IaC), automating cloud resource provisioning and management, improving deployment speed and accuracy by 40%.

Implemented monitoring and logging solutions with CloudWatch and Grafana, tracking performance and health across 5+ critical systems to ensure optimal operation.

Automated repetitive tasks using Python and shell scripting, increasing operational efficiency and reducing manual errors.

Partnered with senior engineers to design and implement security measures, creating over 10 IAM policies and security groups, reducing cloud security incidents by 30%.

Performed regular backups and disaster recovery drills, ensuring data integrity and availability during system failures.

Jr. Cloud Engineer Intern May 2018 – Dec 2018

Beyond Key Solutions Bengaluru, India

Assisted in setting up and improving CI/CD pipelines using Jenkins and Docker, enhancing the efficiency of build and deployment processes.

Supported the implementation and maintenance of AWS cloud infrastructure, including EC2, S3, RDS, IAM, and CloudFormation, ensuring smooth and scalable operations.

Collaborated with teams to automate cloud deployments using Terraform and Ansible, reducing manual tasks and enhancing deployment accuracy.

TECHNICAL SKILLS

Programming Languages: Python, C++, Bash, Power shell, YAML

Databases: MySQL, Oracle, DynamoDB, PostgreSQL, Snowflake, Amazon RDS, MongoDB

Operating Systems: Unix, Linux (Ubuntu, CentOS, Redhat), Mac, Windows

DevOps Tools: Ansible, Terraform, Azure DevOps, Jenkins, GitLab, Docker, Kubernetes, Chef, Puppet, CloudFormation, Helm, Gomplate

Cloud Platforms: Azure, AWS (EC2, EBS, AMI, Lambda, ELB, SNS, EBS, S3, VPC, Snapshots, Auto Scaling)

Governance and Compliance: AWS Config Rules, AWS Organization, AWS Trusted Advisor, IAM

Virtualization Tools: Virtual Box, VMware Fusion

Security: VPN, Load Balancing, Firewalls, Switching, Routing

IDE: VS Code, Atom, PyCharm

Monitoring Tools: Prometheus, Grafana, New Relic, ELK Stack, Datadog, CloudWatch, Cloudibility, Wiz.io

Collaboration Tools: Confluence, Jira, Slack

Version Control: Git, Github

Methodologies: Agile, Scrum, Waterfall, Kanban, SDLC

Other Skills: Power BI, Supervised and Unsupervised, NLP, Scikit-learn, Deep Learning, Clustering Techniques.

EDUCATION

California State University - Long Beach, CA, USA Aug 2022 - May 2024

Master of Science in Computer Science CGPA: 3.8/4.0

Himachal Pradesh University – Shimla, INDIA Aug 2015 - May 2019

Bachelor of Technology in Computer Science and Engineering CGPA: 3.8/4.0

CERTIFICATIONS

AWS Certified Solutions Architect – Associate SAA-C03 #7475P25KVFEE1V5G

Python (Basic) and SQL (INTERMEDIATE) - HackerRank

Kubernetes Administrator Training, Linux Hands-on and Docker Hands-on-DevOps

PROJECTS

Full Stack Application Deployment in AWS Project - Link

Developed a full-stack web application, enabling efficient file storage, retrieval, updating, and deletion using AWS services.

Integrated multiple AWS service for backend operations like Elastic Beanstalk for deployment, RDS for data management.

Real Estate Price Prediction AI/ML Project: - Link

Engineered a comprehensive machine learning pipeline for real estate price prediction, including data collection, pre-processing, exploratory data analysis and model development using regression techniques, achieving significant predictive accuracy.

Deployed the model as a real-time web service using Flask, for user to input property details and receive instant price estimates.

Data Cleaning Project - Link

Demonstrated proficiency in data cleaning techniques using Python, focusing on Pandas and NumPy libraries.

Utilized data visualization tools like Matplotlib and Seaborn to explore and visualize cleaned data.

Netflix Data Analysis Project - Link

Developed a python script for data analysis, leveraging libraries like Pandas and Plotly to extract insights and trends.

Executed sentiment analysis on content descriptions with Text Blob revealing sentiment trends and aiding content strategy.

AWARDS and LEADERSHIP

Iron Lady Award for Diversity, Equity and Inclusion by Hewlett Packard Enterprise, Bengaluru, India 2022.

Mentorship Program Coordinator, lead mentorship program for new grads fostering supportive work culture, Bengaluru India 2021.

Active member of the Society of Woman Engineers community at California State University Long Beach 2023, 2024.

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