Aws Architect Resume
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SUMMARY
- Solution Architect with around 7 years of experience in designing innovative business solutions for clients. Skilled in cloud computing, information management, application development, and virtualization. Demonstrated excellence in evaluating requirements for business application integration and service activation. Proven expertise in communicating across organizational levels and with cross - functional teams to drive shared vision and foster a culture of excellence.
TECHNICAL SKILLS
Cloud Providers: GCP, OCI, Azure
API Design: Swagger Hub
Databases: MySQL, PostgreSQL, Dynamo DB, Oracle DB, Cloud Firestore
Programming Languages: Python, Shell
Operating Systems: Linux (Redhat), WINDOWS Server, UNIX
PROFESSIONAL EXPERIENCE
AWS Architect
Confidential
Responsibilities:
- Work with business management and IT application administrators to manage access roles and profiles for critical applications
- Architected and implemented Data access controls for Enterprise data lake platform to have row level security throughout the data lake with the help tools like Okera and Immuta
- Collaborate with third-party providers and work with them to integrate their products with our system
- Supporting the development and implementation of the Technical Access management, Privilege access management and Access lifecycle.
- Acting as a reference point for Project Management Office (PMO) for RFP (Request for Proposal) queries and information and an advocate for best practices in program management
- Responsible for building persona based consumption patterns for Enterprise Data Platform customers.
- Develop process guidelines and documentation associated with EDP consumption for deployment to IT/Business stakeholders.
Environment: Aurora DB, Redshift, S3, IAM, Okera, Immuta, Starburst, Power BI, API Gateway, Data Obfuscation(Imperva).
AWS Solution Architect
Confidential
Responsibilities:
- Architected application design and developed scalable, fault tolerant solutions for applications moving from On-Premise to Cloud (AWS)
- Created requirement specification documents, analysis and high level design documents and detail design documents
- Developing high quality, enterprise scale applications
- Worked closely with Cloud team to build strategy for AWS deployment and migration process
- Working on Mulesoft Anypoint Platform which is a hybrid integration platform that enables organizations to easily build and rapidly scale integrations between apps, data, and devices through API Led Connectivity
- Working on serverless reference architecture which help develop web application using Lambda functions, API gateway, S3 and Cognito
- Working to implement cost effective cloud (IaaS, PaaS & SaaS) solutions for web Applications
- Implemented AWS Solutions using EC2, S3, EBS, ELB, RDS and auto scaling groups
- Working to implement BigID across the organization which provides visibility and analytics of organizations Personally Identifiable Data (PII)
- Involved in Deployment using configuration Management tool like Puppet to provision AWS instances to enable continuous deployment
- Involved creating migration roadmaps to AWS Cloud and designed architecture models
- Worked closely with the development and operations organizations to implement the necessary tools and process to support the automation of builds, deployments, testing
Environment: VPC, AWS - EC2, S3, Route53, CloudWatch, ELB, EBS, Dynamo DB, AMI, Load balancer, Auto Scaling, Docker, Lambda, RDS (Oracle, Aurora), Cloud Trail, VPN, API-Gateway, WAF, ALB, IAM, Security Groups, NACL