Upender Singh B. Email & Phone Number

With over 14 years of progressive IT experience and extensive expertise in delivering projects across various domains such as Health, Finance, Aviation, Manufacturing, I am a highly motivated AWS Certified Expert. As a hands-on AWS Technical Architect, I have 6 years of experience in developing and architecting enterprise-level, large-scale multi-tier solutions that require complex architectural decisions.My result-oriented approach, combined with exceptional leadership skills, has enabled me to architect and secure infrastructure on AWS using IAM, KMS, Cognito, API Gateway, CloudTrail, CloudWatch, Config, Trusted Advisor, Security Groups, and NACL. I also have knowledge in application and data migrations from on-premises to AWS cloud.As a talented and accomplished IT professional with expertise in AWS and Microsoft Cloud, I have extensive experience in solution designing, which includes but is not limited to security using IAM roles, lake formation, automation using decoupling strategy via SNS/SQS, scalable solutions using serverless approaches like Glue, Lambda, API Gateway, computation via EC2 accompanied with ALB, NLB, dynamic DNS resolutions using Route 53, and big data and data analytics using EMR, Spark, Glue, Athena, and QuickSight.I possess strong communication and management skills, excellent role-playing capabilities, and vast experience in SDLC lifecycle for design, development, staging, delivery phases of the projects with the support of data flow, process models, E-R diagrams, current state, target state, reference architecture, presenting to Architecture Review Board (ARB). I also have hands-on experience with data modeling and data warehousing using both traditional and modern approaches.My excellent analytical, communication, and interpersonal skills, combined with technical writing and presentation abilities, make me an ideal team player. I possess excellent knowledge in data warehouse concepts and multidimensional data and design implementation using AWS Redshift, S3, Glue, and Microsoft Cloud Platform for Data Analytics and Data Warehousing.