Cloud Architect Resume Example

Client: Hitachi, Ltd.

Project: Manufacturing Insights

• Architected and created a highly scalable multi-cloud platform using Kubernetes, as the primary control plane component, and open source tools such as ISTIO, Keycloak, NGINX, Prometheus, Grafana and others.
• Designed and Implemented a Secure Cloud Computing Architecture (SCCA) approved Virtual Data Center Management Stack (VDMS) and Virtual Data Center Security Stack (VDMSS) to enhance the security of the solution.
• Developed a multi-tenant network architecture using AWS Transit Gateway to create hub and spoke network model for the customers within the network.
• Introduced cutting-edge DevOps frameworks to accelerate the delivery of microservices through a tightly governed release process
• Formalized and restructured the code release process by creating and implementing automated code sanity checks into the pipeline framework
• Implemented ISTIO as a service mesh component to observe and control network flow across services running in multiple kubernetes clusters.
• Created solution architectures for different use cases that met the customer' business, functional and technical requirements.
• Coordinated with geographically-distributed different product teams and key stakeholders and captured business requirements.
• Actively participated in all phases of the software development life cycle, from requirements analysis through system implementation.
• Proposed and launched a show & tell program through which every team member gets an opportunity to explore and learn new technologies and present it at the bi-weekly Show & Tell event.

Client: Hitachi, Ltd.

Project: DataLake as a Service

• Architected and developed a composable data lake framework from ground-up and led the initiative of creating a new service offering for use by customer-facing delivery teams.
• Created design concepts by creating a plug and play reusable infrastructure blueprints that provide capabilities like data transformation, data storage, data warehousing using AWS Redshift, AWS Glue, and AWS EMR cluster.
• Administered the composable solutions to follow architectural best practices like operational excellence, security, reliability, performance and cost optimization.
• Implemented personalized workstations POC by creating customized EMR clusters and providing secure access using AppStream 2.0.
• Interacted with customers, internal staff, and other stakeholders to determine the scope of product requirement, execution and integration of system-oriented projects.
• Planned and executed weekly scrums to meet the project deliverables, review key milestones and advise the team through technical implementation problems.
• Mentored and trained geographically-distributed resources, set weekly goals and helped motivate the team to explore new technologies and produce new proof of concepts.

Client: Bank of Montreal - Canada

Project: Datalake Assessment

• Spearheaded the assessment of an existing Data lake platform built on GCP toanalyze and predict insights on the marketing data streamed from social media platforms.
• Proposed critical network and security best practices to support Compliance, High availability and Scalability of the existing Cloud infrastructure.
• Worked with key stakeholders across the board to capture the business requirement and proposed solutions using Cloud Functions to transform data.
• Designed and developed a turn key solution to solve a critical security vulnerability with the network connectivity between their on-prem and cloud networks.
• Created and presented a final assessment read out to review the findings from the current infrastructure setup.

Client: International Monetary Fund

Project: Datalake Assessment

• Led a team to provide architecture assessment on existing AWS environments to implement a cloud Data lake which includes data transformation, ad-hoc analysis, Data Warehousing, and Sagemaker.
• Reviewed client's existing on-prem business intelligence solutions and presented a highly redundant data lake architecture to support Machine Learning and data transformation processes across the data lake.
• Executed a POC to correlate real-time social media data from Twitter using Amazon Kinesis with client's existing campaign data to uncover new marketing insights in near real-time.
• Proposed a data governance model using Role-based access control (RBAC) principles for accessing different types of data within the organization.