Working with version control, build and release management and deployment of the solutions to the Dev, Stage, Prev and Prod.Implemented and managed branching strategies and staging policies in Azure DevOps Repos to facilitate efficient code management and deployment processes.Working Knowledge of setting up CICD pipeline in Azure and Jenkins.Scheduling of automatic repetitive Jobs with Crontab. Working Knowledge of AWS S3, AWS SNS, Cloud Watch, AWS Load Balancer, IAM, AWS Secrets Manager, AWS Cloud Designed and implemented customized Elasticsearch dashboards in Kibana to monitor key metrics and visualize data trends for various applications and infrastructure components. Developed dashboards to monitor critical application performance metrics, including response times, error rates, and resource utilization.Utilized PagerDuty for efficient incident management, including setting up on-call schedules, escalations, and notifications, ensuring timely and coordinated response to system issues.

• Deploying, Managing and operating scalable, highly available and fault tolerance systems on AWS• Migrating an existing on-premises application to AWS• Strong knowledge and hands-on experience in deploying below AWS services on all three Production, Stage and Development environments:• Creation of Linux, Windows EC2 instances, • Amazon ELB (Elastic Load Balancer). Security Groups to allow/deny ports• AWS RDS (Relational Database Service for MS-SQL, Oracle) • Amazon CloudFront – Content Delivery Network service• Creation of AMIs and Snapshots. Share AMIs from one account to another account• Creation of Volumes and snapshots• AWS Storage services: S3, Glacier, EFS, Storage Gateway and EBS, • IAM user creation to access AWS portal• VPC creation, Public/Private subnet creation to isolate critical environment• Enable AWS Auto Scaling.• Evaluate existing client environment and recommend best practice to migrate the infrastructure to AWS.• Identifying appropriate use of AWS operational best practices• Estimating AWS usage costs and identifying operational cost control mechanisms• Selecting the appropriate AWS service based on compute, data, or security requirements• Provide KT to operations team on the new infrastructure created in AWS• Prepare and handover technical document for reference.• Worked on MS SQL Server and Written queries to pull data.• Designed relational/dimensional SQL Server database/data mart using Visio, implemented in SQL Server Management Studio and migrated data using linked server and store procedure.• Knowledge in developing and modifying multi-dimensional cubes using SQL Server Analysis Services.• Environment: MS SQL Server 2012, SQL Server Management Studio, Azure SQL, SQL Server Query Analyzer, MS-Access, SSAS, SSIS, SSRS, OLAP, OLTP, MDX, ETL, Erwin, MS Visual Source Safe.