San Jose, California, United States
• Built Serverless APIs in Python using AWS (Amazon Web Services) to implement business solutions, to provide integration between different services.
• Own the Microservices Platform. Worked on requirement gathering, design, development, execution, and post-production support for around 60+ Microservices. Presented companywide on Microservices, AWS
• Managed existing Microservices and enhanced them according to the need
• Worked closely with Data Engineer, Data Scientist to implement Machine Learning based Business Solutions, to automate solutions where appropriate. One of such services is LeadScore which is a Machine Learning based data product implemented on the Microservices platform which enabled the sales team to get 90% of sales from 50% of leads
• Built backend services to support Ecommerce Account Page.
• Cut down the cost of the services by 99.2% per year by building customized solutions and using AWS
• Hands-on experience in AWS services including AWS services like API Gateway, Lambda, DynamoDB, S3, AWS Glue, Secret Manager, SQS, IAM, CloudWatch, SNS, Pinpoint, IAM
• Introduced and written AWS Glue jobs to move data from No-SQL(DynamoDB) database to MySQL to perform additional analysis and to analyze the implemented business solutions
• Developed Microservices to integrate Salesforce CRM with different third-party services which enabled custom integration, also eliminated installing external applications directly in Salesforce which made Salesforce lighter
• Worked on Salesforce development to integrate with Microservices, written complex business flows on Salesforce Platform using APEX programming language, Process Builders along with writing Unit Test cases
• Evaluate end-user requests from Sales and Marketing team for new API services and interacting with them for future enhancements of Microservice Platform
• . Used Jira for managing the projects and Confluence, GitHub to maintain documentation, releases