Kailash
Karigar

Accomplishments Common Across Various Projects/Services:

• I contributed towards analysis, design, implementation, testing, deployment, documentation, maintenance and production support of the projects mentioned above
• Developed High Level Diagram (HLD) for SLS V2. Involved in developing HLD for Financial Document Number Management System (FDMS) and Global Retail Promotions System.
• Designed, Developed and Reviewed with Technical Architects (TAs) the API specification for more than 10 APIs namely, Retail Product Search, Store Views, Store Aliases, Document Numbers, ARG Governance, Print Jobs, Aptos Promotions, Exgest Orchestrations, Promotion DCNs, Product Analyzer, and Product Changes (additional endpoint) as per Nike API guidelines/standards using Swagger 2 as well as OpenAPI 3 (Swagger 3) Editors.
• Developed AWS CloudFormation templates for creating/updating various AWS resources, IAM Roles, Access Policies for the components that uses EC2, AWS Lambda, DynamoDB, Amazon Aurora, Amazon Elasticsearch, SQS, SNS, S3, CloudWatch, Amazon API Gateways, and SAM for Test/Prod environments.
• Developed & applied Elasticsearch mapping scripts for Retail Product Search, Store Views, & Aptos Promotions.
• Developed base microservices using Spring Boot blueprint and having set up for Cucumbers Testing, Performance Testing, IAM Role & Access Policies, Pull Request Analysis (PRA), Ci/CD Pipeline for various services of the above-mentioned projects.
• Designed Scenarios for Cucumber based Integration testing and implemented the Alpha Scenarios. Implemented and conducted Gatling Performance Tests. Performed all the DevOps operations/steps to build Jenkins pipeline, continuous integration & delivery (CI/CD), attending/resolving production support incidents.

Description and Accomplishments for individual Projects/Services:

1. Retail Global Product Catalog System: A system to create/transform, update, maintain, and search the Retail Product Data to be used by Retail POS systems at specific Nike stores. Comprises of a Retail Product Search API (AWS EC2 based Spring boot Microservice, transformation & ingest lambda component, GPC Ids Stream Lambda Component, Kinesis Stream, and Amazon Elasticsearch.
   Architected, designed and implemented the following for the Retail Global Product Catalog System:
   • Search and sort functionalities using Elasticsearch and Java/Jest Client APIs.
   • RESTful endpoint for patching the retail product data stored in AWS Elasticsearch.
   • Elasticsearch management endpoints for creating indices and apply mapping; deleting indices; adding/removing aliases of the given indices for swapping the hot/cold indices.
2. Mobile Sales Everywhere Seamlessly (MoSES): A Pilot Project for building Mobile POS systems having backend services in the cloud such as product search, inventory, payment, checkout, order, shipping plus mobile app.
   Architected, designed and implemented the following for the :
   • Product search endpoint by integrating with CAPI Search, CAPI Details, CAPI Inventory, Inventory Hub, SLS, and GPCR search service for multithreaded invocations
   • transformation logic to build product search responses (different for all three versions) based on style colors, GTINs, and inventory information obtained from the integrated services as listed above.
3. Retail Store Location System (Version 2): System to create/transform, update, maintain, and search the Nike’s SLS V2 Data and supports the Geo Distance search performed by Nike mobile apps and .com services.
   Accomplishments the following for the Retail Store Location System:
   • Architected, designed and implemented SLS V2 Search endpoint with Rest Services Query Language (RSQL) based search functionalities including Geo Point search within a given radius.
   • Architected, designed and implemented Ids endpoint for searching against a comma separated list of ids of the store locations.
   • Planned and completed performance testing of search endpoint and determined required configuration for the EC2 instances and the Amazon Elasticsearch cluster until the desired SLAs are met for load up to 5 million requests/hour.
4. Financial Document Number Management System (FDMS): System consists of four APIs to create/update/maintain numbers for Nike Retail Stores’ fiscal documents as per government regulations.
   Accomplished the following while working for the FDMS:
   • Involved in the analysis of the legacy Chile Document Number System and contributed to recommending an enhanced & common document system (reusable for different countries) consisting of 4 Rest APIs to create/update/maintain government specified numbers for different types of financial documents as per the government regulations in applicable countries.
   • Implemented end points for Generate Document Numbers API and Request Document Numbers API including request validation, controller layer, service layer and DAO layer for Amazon Aurora.
5. Store Alias Service: A tool to save and find store Id for store aliases specified in different systems.
   Accomplished the following while working for the Store Alias Service:
   • Implemented CRUD endpoints including request validation, service layer and DynamoDB DAO layer for creating, updating and retrieving the Store Aliases records.
6. Product Label Print Jobs Service: A service for sending product labels to store printers
   Accomplished the following while working for the Product Label Print Jobs Service:
   • Implemented the Print Jobs Service with Create Jobs and Get Job by Id end points.
   • Integrated with Store Exgest Service for creating label printing blobs and notifying a given store for printing labels.
7. Global Retail Promotions System: Consists of 6 APIs and it subscribes and processes to the Nike Global Promotions. Transforms the promotions to a format compatible with Retail Point of Sale Systems and delivers transformed promotions to the specific stores across the world. Contributed to Aptos Promotions Service, Exgest Orchestration Service, and Promotion DCN Service.
   Accomplished the following while working for the Global Retail Promotions System:
   • Implemented the Promotions Search endpoint with RSQL based search functionality in the Aptos Promotions Service. The implementation includes validation of request query for supported search fields, RSQL syntax, & supported sort fields; transforming the incoming search and sort queries into Elasticsearch query; and the DAO layer to perform search operations with Elasticsearch. Code coverage (line and branch) achieved above 90%.
   • Designed, implemented, tested, deployed in test the Exgest Orchestration Jobs Service of the promotions system. Implemented integration with promotion DCN service, store exgest service.
8. Price DCN Jobs Service, Version 3: This service is meant for generating Price DCN (POS compatible format of product price data).A new service with version 3 changes is created such that the Exgest Orchestration Service can be invoked to request for price DCN generation which in turn invokes the priceDcn v3 service to accomplish the task,
   Accomplished the following while working for the Price DCN Jobs Service, Version 3:
   • Implemented create job and get job by id endpoints in the price DCN jobs service. When job processing is done, every stage of job success/failure is saved in the job which can be retrieved when GET by id endpoint is invoked.
9. Product Analyzer: Product Analyzer: A tool for fetching product data from four different services for a given product code or Global Trade Item Number(GTIN) and analyzing the data to report discrepancies in various services
   Accomplished the following while working for the Product Analyzer: This service is meant for generating Product DCN (a POS compatible format)
   • Implemented the product analyzer service with an endpoint for gathering product data from catalog v2, Global Product Catalog- Retail (GPCR) search service, listing service and Local Product Info (LPI) Service. Implemented logic for analyzing and building analysis report based on over 20 different error criterions
10. Product Changes Service
    Accomplished the following while working the Product Changes Service:
    • Implemented create-job for given GTINS and get-job by id endpoints in the product changes service. When job processing is done, every stage of job success/failure is persisted to be retrieved using GET by id endpoint.

Accomplishments while working on Discovery (Search) Platform in Cloud:

• Explored Microservices Blueprint, Netflix Stack, Jenkins CD Pipeline bash/python/groovy DSL/scripts for designing, testing and deploying APIs in Nike-AWS environment through continuous delivery pipeline
• Design, and develop Rest API specifications (API.md) for various Microservices.
• Contributed towards Integration Tests, Contract Tests, and Unit Tests using JUnit, EasyMock, RestAssured.
• Contributed to decision making by developing POCs for building Nike Blueprint based Rest APIs for performing CRUD operations with Elasticsearch, Solr and Cassandra integration for hands on technological comparison.
• Involved in creating/configuring/using CD pipelines in Jenkins for WAR, AMI, Integration, and Test Deploy, Prod Deploy jobs/projects, and Canary Analysis/Deployment. Used Splunk, NewRelic for monitoring/analysis deployed Microservices/APIs/EC2 instances
• Developed deployment plan and executed the same production deployment of Discovery Platform’s APIs in AWS and performed pre/post deployment checks/functional tests.

Accomplishments while working on Discovery (Search) Platform in Cloud:

• Contributed to analysis, design, & development of Information Transformation Layer legacy Search capabilities.
• Involved in proof of concept (POC) efforts done by the search team for the seamless ITL’s new solution
• Analyzed & Designed and developed Facet Redirect Service (integrated with Assembler application) used by Nike’s front-end application for redirecting older search urls (bookmarked earlier & requested by customers, now) and returning appropriate search results (based on newer navigation system).
• Designed data export system for exporting product data from Endeca JspRef application to Excel.
• Enhanced the Automated Regression Testing of the Nike’s Legacy Search Platform (ITL & Assembler Apps)
Involved in proof of concept efforts for moving ETL part of the Nike search systems into AWS (cloud environment) from the conventional server environments.

Technical skills used while working on Discovery (Search) Platform in Cloud: