Priyanka Patil
Plymouth,MI
Summary
- Result-oriented Professional with extensive experience of over 7 years in architecting solution for Azure & AWS Cloud, CI CD, Mobile Applications, Web Applications with skills in Bigdata and ETL development
- Excellence in working on end-to-end AWS Cloud tools & services, Docker, Kubernetes, Node JS, MongoDB, Python along with AWS DevOps, Process and Infrastructure Automation
- Excels in providing technical design and architectural leadership (Automation) to teams and ensuring that integrations are performed as per stated architectural and design principles & standards
- AWS Expertise in performing DevOps practices and automation for continuous integration (CI) and continuous delivery (CD) throughout the product development lifecycle while building support for continuous testing and configuration management to enable zero downtime deployment
- Developed solutions to optimize, enhance, manage the clients' business in the best possible way with end-to-end execution of the solution identification exercise involving client interaction, development of workflow solution, solution customization, configuration & implementation
- Professional excellence in delivering container-based deployments using Docker, setting up and managing Docker private repository and in creating custom Docker Images using Docker file, Docker Networking
- Hands-on expertise in working on Azure Cloud, Code Build, Jenkins, Azure DevOps, Team City, Git, JIRA, Confluence, Bitbucket & many more
- Significant knowledge of analyzing, designing and developing ETL strategies and processes, writing ETL specifications
- Proficiency in setting up of Production support, DevOps, SCM, Build and Release Engineering, CD/CI process, Release Management, UAT & Business Rules team from initiation
- Insightful cross-cultural exposure while working with geographically diversified & multi-functional teams for sharing information
Overview
5
5
years of professional experience
Work History
AWS Cloud Engineer
Harbinger Group
08.2022 - 05.2024
- Leading cloud based multi technology stacked Machine Learning product from design to deployment and designing functional & technical architecture, detail documentations & technology recommendations
- Spearheading end-to-end technical solution from architecture to deployment including documenting & reviewing team deliveries to identify performance gaps.
- Designed custom monitoring dashboards using Amazon Cloud Watch for real-time insight into system health and performance metrics.
- Developed comprehensive strategies for leveraging AWS Auto Scaling, ensuring optimal resource allocation and cost efficiency during periods of high demand.
- Developed and maintained CI/CD pipelines using Jenkins, increasing deployment speed and reliability.
- Performed first-level incident response and service resolution for cloud systems.
- Performed advanced engineering in configuration, management and deployment of AWS cloud environments.
- Evaluated new AWS services as they were released, making recommendations for adoption where appropriate to maintain a cutting-edge technology stack.
- Responded promptly to user requests for permission changes, new storage and expansion questions.
- Established strong relationships with key stakeholders to ensure that cloud initiatives were aligned with broader organizational goals and priorities.
- Applied scripting methodologies to automate IT administrative related tasks.
- Provided technical support to both internal colleagues and external clients regarding their use of AWS services, fostering positive relationships built on trust and expertise.
- Conducted performance tuning of cloud environments by analyzing system metrics, enhancing application responsiveness and user experience.
- Guided other teams to design, develop and deploy data sets and tools that supported product use cases.
- Conducted regular audits of cloud environments to identify potential vulnerabilities or areas for improvement before they became critical issues.
- Defined information models supporting data assets for complex data structures represented through relational and hierarchical databases.
- Conducted deep-dive hands-on training sessions to transfer knowledge to customers considering or already using AWS.
- Defined enterprise processes and best practices and tailored enterprise processes for applications.
- Managed and monitored installed systems for highest level of availability.
- Managed use of various types of databases and configured, installed and upgraded new ones.
- Monitored and tested application performance to identify potential bottlenecks, develop solutions and collaborate with developers on solution implementation.
- Managed installation, upgrade and deployment projects and provided on-site direction for network engineers.
- Resolved issues related to operational components for LAN, WAN and voice systems.
- Designed and implemented system security and data assurance.
- Coordinated disaster recovery efforts by developing comprehensive plans that outlined roles, responsibilities, and procedures during an event.
- Captured and shared best-practice knowledge among AWS community and presented sessions at industry conferences.
- Collaborated with cross-functional teams to design scalable and secure cloud solutions in line with business requirements.
- Implemented security best practices within the AWS environment, safeguarding sensitive data and ensuring compliance with industry regulations.
- Automated daily backups of critical data using AWS S3, reducing the risk of data loss in case of system failures.
- Participated in architectural discussions to build confidence and promote customer success when developing new and migrating existing applications, software and services on AWS platform.
Technical Associate Consultant
Accenture
04.2021 - 08.2022
- Collaborating multiple technical teams across various technologies such as AWS Cloud Computing, Microservices Development, Big Data using Redshift and MongoDB, Predictive Models, CI / CD teams using Docker and Kubernetes, Python.
Associate Technical Consultant
MRCC Group
01.2019 - 08.2021
- This project was designed for Corporate Customers and was aimed at deciding sanctioning routes for all corporate customers whether Fast track, Standard, Light and ensured usage of scorecard of all corporate customers using scorecard Business Rules.
Education
BE in Electronics & Communication -
NMU University
01.2019
Skills
- Python
- SQL
- Java
- Teradata
- AWS
- Powercenter96
- Solution Architecture & Design
- Deployment Solution & Maintenance
- Cloud Infrastructure Management
- DevOps (CI/CD)
- Containerization & Orchestration
- Business Process Integration
- Agile/Scrum Methodologies
- Big Data/ETL Development
Personal Information
Date of Birth: 08/21/93
Projects
Harbinger, JPMorgan Chase & Co., Development of IaaC (Infrastructure as a code) automation to give SaaS (Software as a Service) on AWS and Azure using Terraform and python Boto3. Accenture, Virgin Media, Deployment of Big Data Analytics Application on AWS. MRCC Group, MRCC Group, Designed for Corporate Customers aimed at deciding sanctioning routes for all corporate customers.
Timeline
AWS Cloud Engineer
Harbinger Group
08.2022 - 05.2024
Technical Associate Consultant
Accenture
04.2021 - 08.2022
Associate Technical Consultant
MRCC Group
01.2019 - 08.2021
BE in Electronics & Communication -
NMU University
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