Krishna Srinivasan

• Spearheading the delivery of various projects and BAU releases, while managing DevOps teams of over 40 members and coordinating efforts across multiple scrum teams.
• Collaborating with IT leadership and product owners in weekly sessions to craft the roadmap and prioritise strategic deliveries.
• Working in tandem with solution architects, UI/UX designers, technical leads, and business analysts to conceptualise and execute multiple projects and initiatives.
• Investigate and conduct proof-of-concept trials for a range of generative AI use cases, like Copilot, with the aim of enhancing the efficiency of deliverables.
• Successfully designed, developed and implemented the Store Modernisation project, transitioning the existing store back-office application from a monolithic architecture to a microservices-based architecture by leveraging Azure cloud components.

Project Store Modernisation & Point of Sale In Store Media : (Azure Cloud)

• Defined requirements for Function App, Service Bus, Event Hub, App Insights, and Azure PostgreSQL Database.
• Developed azure functions, timer functions and durable functions to cater to various requirements
• Used Terraform for infrastructure creation using Infrastructure as Code (IaC).
• Configured Azure CI/CD pipelines for build and deployment
• Incorporated Snyk and Sonar into pipelines for security and quality checks.
• Utilized Hashicorp Vault and Azure key vault for storing runtime secrets, including OAUTH tokens, and implemented Managed Identity for credential-free database access.
• Enhanced API performance through strategic changes in app service plans, including Dedicated and Elastic Plans.

• Responsible for the design, development, and seamless implementation of multiple projects within the store domain, such as sailpoint migration, customer fulfilment centre, value audit tool, electronic shelf labels, and action centre.
• Introduced and executed a range of innovative enhancements to the existing store back office application, such as the homepage dashboard, quick view lookup, and automated gapscan.
• Successfully integrated Azure DevOps and agile methodologies across all the projects.
• Ensured the delivery of all projects with uncompromising quality and security standards by incorporating tools such as Sonar and Snyk into the project lifecycle.
• Took ownership of planning and implementing the release changes, adhering to organisational standards.

Project Action Center: (GCP Cloud)

• Implemented an action alert management system to automate back-office operations for over 3000 stores.
• Provisioned Google Cloud components like Service Account, Cloud Functions, Pub/Sub, and Buckets
• Processed inbound data from multiple systems, removed duplicates, and transferred data to google firestore db
• Archived actioned and expired alerts from Firestore to BigQuery and provided feedback to source systems.
• Monitored cloud operational costs on a monthly basis, optimising cloud resources based on usage patterns to drive cost-efficiency.

• Involved in the requirements gathering, design, development, and implementation phases of the Next Generation Back Office (NGBO) Solution, a one-stop solution for all in-store inventory operations and reporting in the back office
• Designed and developed various backend solutions across multiple functionalities that includes stocktake, article lookup, order management, pricing, and stock management routines such as gapscan, stockfill, and overstocks.
• Developed a lot of complex stored procedures in PL/SQL that transform and load high volumes of data into Oracle DB.
• Developed over 200 stored procedures and functions in SAP SQL Anywhere, embedding the core business logic for various store functionalities, exposing them as APIs for browser and mobile applications.
• Implemented data synchronization mechanism using SAP Mobilink, to synchronise data between local store databases and the central Oracle database.
• Redesigned and optimised critical store back office functionalities such as stocktake and order management to adhere to sub-second SLA responses.
• Leveraged expertise as an application Subject Matter Expert (SME), actively collaborating with the support team to swiftly resolve critical P1 & P2 issues, ensuring uninterrupted store operations.
• Efficiently managed medium-sized teams and delivered multiple functionalities within predefined timelines.
• Led and coordinated the cutover team with precision, overseeing the successful implementation of the store back office application across all 3000 stores within one year.

• Actively involved in the design and development phases of the project
• Developed Actimize models as per client requirements and created various alerts to report fraudulent transactions
• Developed complex SQL queries for ETL scripts
• Worked on enhancements to the existing PL SQL Feed validation scripts
• Performed technical reviews and code reviews of the code developed by the team members
• Worked on the performance improvement of various modules in the application to meet the SLA
• Worked on the performance tuning of the existing post-ETL PL/SQL scripts

• Involved in the Requirements gathering, design, development, testing, migration, and support phases of multiple Projects
• Delivered enhancements with varying complexities and customizations based on project needs
• Worked as a Techno-functional consultant in Oracle Financial Modules performing multiple setups and resolving inquiries in AP, AR, FA, and GL financial modules
• Hands-on Experience in Oracle PL/SQL, Unix Shell scripting, Asp.net
• Worked on performance tuning of long-running SQL and PL/SQL packages
• Developed SSIS packages to load data from flat files to SQL Server database and vice versa
• Designed, developed, and deployed a lot of reports using MS SQL Server Reporting Services (SSRS).