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Information Technology - Cloud Computing (NEW)
(Platinum Winner)

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#TBA03956

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PO Created Date

2025-01-15 16:09:20

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2025-01-15 16:10:07

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2025

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Entry ID

TBE104348

Entry Submission Date

2025-01-15 13:52:13

Member's Name

Venkata Durga Ganesh Nandigam

Member's Email

talktonvdganesh@gmail.com

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Others

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IT25024 - Cloud Computing (NEW)

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Project Description

Project Description for Judges

Question 1 : Provide a brief description / background of your nominated organizational, departmental, team, or individual circumstance. (Your response to this question will be used for public display if your entry is awarded.)

Description
Venkata Durga Ganesh Nandigam is a distinguished Software Engineering Manager specializing in enterprise-scale cloud-native solutions. His expertise in distributed systems and microservices architecture has driven transformative initiatives at major retail organizations. His mastery of cloud technologies including Spring Boot, DynamoDB, Amazon S3, RDS (Aurora), EC2, EKS, and Fargate demonstrates his ability to drive innovation while maintaining operational excellence.
Background
Ganesh's leadership in POS+ Services showcases his ability to revolutionize retail operations through cloud computing. By implementing automated scaling solutions and cloud-native architectures, he has created resilient systems that scale efficiently with zero downtime. His expertise extends to strategic team development, having grown multiple engineering teams into high-performing units. His proficiency in AWS, Kubernetes, Terraform, and DevOps pipelines positions him as a leader in cloud technology modernization.
Key achievements include:

Implementing canary deployment strategies during rollouts, achieving zero-downtime deployments across Nordstrom Rack stores while increasing transaction capacity by 15%. His approach to performance optimization included load testing with JMeter and leveraging Kubernetes for auto-scaling.
Introducing Splunk and New Relic for improved service reliability, reducing Mean Time to Resolution (MTTR) by 40% and establishing Service Level Agreements (SLAs) for incident prioritization.
Driving business outcomes through payment method integration, resulting in a 35% increase in sales and 30% reduction in manual errors, while achieving a 25% boost in operational efficiency through automation.

Notable technical accomplishments:

Architecting cloud-native microservices infrastructure processing 170 queries per second with 100% Disaster Recovery setup using Docker, Swarm, and Kafka.
Engineering cloud-based APIs and containerized environments that reduced forecast errors by 50% and decreased monthly route coverage by 11% using Java 8 and Spring technologies.
Implementing DevOps automation and CI/CD pipelines with Kubernetes and Terraform, increasing engineering productivity by 20% and achieving 35% sales growth through enhanced payment features.

Question 2 : Outline your nominated organizational, departmental, team, or individual achievements, dated 1-3 years prior, based on your selected categories.

Infrastructure Excellence Venkata Durga Ganesh led the development of high-performance, scalable APIs that successfully handled 170 queries per second, demonstrating exceptional prowess in cloud infrastructure management. His implementation of a 100% Disaster Recovery setup elevated system reliability to the top 6% of critical systems, showcasing outstanding achievements in cloud resilience and availability. His strategic deployment of cloud-native solutions resulted in unprecedented system reliability and operational efficiency.
Technical Innovation 
In the Retail Demand Forecast Services initiative, Ganesh architected a sophisticated cloud-native system that reduced sales forecast errors by 50%. His leadership in developing containerized environments using Docker and Kafka resulted in an 11% reduction in monthly route coverage, significantly optimizing operational efficiency. His innovative approach to cloud architecture established new benchmarks for supply chain optimization and forecast accuracy.
Cloud Architecture Transformation At the helm of POS+ Services, Ganesh orchestrated the creation of a robust cloud-native microservices architecture, delivering six REST-based microservices encompassing 26 business features and 44 APIs. His innovative approach to cloud integration led to a remarkable 35% increase in sales through new payment features and a 20% boost in engineering productivity. The implementation of advanced cloud-based monitoring systems established new standards for retail technology infrastructure.
Key Achievements:
Delivered 44 cloud-native APIs supporting 17 business events
Achieved a 35% increase in sales through the successful integration of new payment features.
Reduced manual errors by 30% and enhanced efficiency with a 25% boost through automated DevOps solutions.
Achieved zero downtime through sophisticated Kubernetes deployment strategies
Implemented cloud-based monitoring systems utilizing Splunk and New Relic for proactive issue resolution
Seamlessly deployed the solution across all Nordstrom Rack stores, validating the robustness of the architectural framework.
Professional Impact Ganesh's expertise in cloud technologies transformed traditional retail operations into modern, efficient systems. His leadership expanded engineering teams from 2 to 6 members in one initiative and successfully managed 10 engineers in another, while maintaining exceptional standards in cloud infrastructure development and deployment.
This narrative showcases Ganesh's significant contributions to cloud computing innovation and his ability to deliver substantial business value through advanced technological solutions.

Question 3 : Provide examples of the strategies / plans you have introduced, in order to attain your nominated organizational, departmental, team, or individual achievements. Explain why the highlighted achievements are significant / unique.

Strategic Implementation Approaches
Infrastructure Modernization Strategy Ganesh pioneered a transformative approach at Nordstrom's POS+ Services by implementing a cloud-native microservices architecture. His strategy encompassed developing six REST-based microservices with 26 business features and 44 APIs supporting 17 publishing business events. He orchestrated the integration of CI/CD pipeline with Kubernetes and Terraform, resulting in a 20% boost in engineering productivity and 30% reduction in manual errors. His innovative approach included comprehensive load testing with JMeter to identify and eliminate performance bottlenecks.
Scalability and Reliability Framework At Tesco's Retail Demand Forecast Services, Ganesh established a comprehensive framework focusing on high-performance APIs capable of handling 170 queries per second. He implemented a 100% Disaster Recovery setup, positioning the system in the top 6% of Tesco's critical systems. His approach included utilizing Docker for Kafka-based development and implementing synchronized processes for technical debt management. He established robust monitoring systems using Splunk and New Relic for proactive issue resolution.
Why Achievements Stand Out
Operational Excellence Ganesh's implementations led to remarkable improvements in operational metrics. At Nordstrom, his strategies resulted in a 35% increase in sales through successful integration of contactless payments and QR scanning capabilities. The deployment of canary models ensured zero downtime across store operations, while his incident management protocols significantly reduced customer impact during peak periods.
Performance Optimization At Tesco, Ganesh's leadership resulted in reducing sales forecast errors by 50% and decreasing monthly route coverage by 11%. He scaled the engineering team from 2 to 6 members while maintaining high performance standards. His expertise in leveraging advanced technologies like Spring Boot, DynamoDB, Amazon S3, RDS (Aurora), EC2, EKS, and Fargate demonstrated exceptional technical acumen.
Cross-functional Impact Ganesh's initiatives extended beyond technical implementations. His approach to team development included mentoring engineers and establishing standardized internal processes for feature implementation, while fostering collaboration between product management and engineering teams to ensure alignment with strategic objectives.

Optional Context for Judges (Not for publication. This section is solely for judges' evaluation.)

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Link	Password Protected	Display (Winner Info)
https://dpanalytics.medium.com/tescos-journey-to-data-driven-retail-aef54f0cbd09	No	Display
https://www.forbes.com/sites/bernardmarr/2016/11/17/big-data-at-tesco-real-time-analytics-at-the-uk-grocery-retail-giant/	No	Display
https://www.linkedin.com/pulse/evaluating-role-supply-chain-management-enhancing-efficiency-banna	No	Display
https://procurementmag.com/articles/tesco-using-operational-research-to-reduce-waste	No	Display
https://www.retaildive.com/ex/mobilecommercedaily/nordstrom-goes-with-mobile-checkout-at-retail-stores-nationwide	No	Display

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