APOORVA INANI

• Project: Greens meadows – Order Management System (OMS)
• It’s a project to introduce a new trading platform that replaces old trading platform of Fidelity
• This new platform is being developed with cutting edge technologies that enable Customers & Operations teams use the platform effectively and efficiently and supports Crypto trading.
• Participating in Sprint planning and contributing to developing epics, spikes & user stories
• Working closely with Business Analysts as part of feature development
• Development using Java 17, Spring Boot, Apache Kafka, MongoDB
• Implemented Redis cache to store Configs & Business Rules to improve application performance and handled all cache operations – read/ write / evict
• Part of Team that developed MultiOrders (Bulk Orders in a single request)
• Contributed in developing Fractional Order module
• Implemented git4j resiliency Retry extensively for rest calls and database operations
• Implemented DLQ (Dead Letter Queue) for Kafka Resiliency
• Working closely with other Micro Service teams to understand the contracts for new APIs
• Code Review of Team members
• Thorough Code review of PRs to identify latency & redundant DB or network calls
• Covering upto 100% code with Unit & integration testing
• Developing UI interfaces using Angular14
• Developing End to end feature using UI- Angular14, Java & MongoDB database
• Mocking the dependent rest services for integration testing using MounteBack
• Deploying and testing the feature in DEV & QA environment
• Part of Production deployment team to coordinate with DevOps team & handle any issues
• Working with QA team in resolving issues by analyzing logs in Data Dog
• Writing MongoDB scripts to for backward compatibility
• Documenting the technical designs in confluence and presenting to team
• Driving & participating in KT sessions to new & existing team members.

Technical Environment: Java 17, Spring Boot, Spring Data, MongoDB, Insomnia, Maven, Bitbucket, Jenkins, Redis Cache, Apache Kafka, Data Dog

• Role: Working in Data Analytics Engineering team involved in developing enterprise metadata repository.
• Implementing APIs to transform and categorize data into various tiers by applying complex business requirements and storing the datasets in AWS cloud metadata repository.
• Project: Catalog (Metadata Repository Application)
• Catalog is a Metadata repository system. Based on the datasets created in Catalog, downstream ETL jobs are run, and data is retrieved to be used by various teams for analytics, marketing, reporting etc.
• Catalog API is deployed using Docker in AWS cloud as EC2 instances.
• Developing APIs (Catalog Core service) for CRUD operations on datasets by applying complex business requirements
• Developing APIs (Migration Service) to migrate existing datasets from old metadata repository system (Nebula) to newer dataset metadata repository system (Catalog)
• Improving resiliency of micro services using Spring resiliency4j framework– Circuit breakers, retry
• Working with Business Team in creating Jira stories for new features
• Participate & collaborate in internal team discussions on requirement analysis, Git PR reviews, Git issues etc
• Strict adherence to Java 8 functional programming & Java 11 features by way of maximizing code quality & readability
• Writing Unit and Integration tests with a target of 100% coverage
• Developing Web UI to interact with Migration service using HTML5, JavaScript, Spring Thyme leaf
• Acceptance tests development using Karate/ cucumber framework
• Writing JavaScript functions as part of developing Cucumber tests
• Developing UI components using Angular 11
• Writing UI unit & integrations test cases using Karma /Jasmine framework
• Contributed for UI E2E testing using framework Cypress
• Involving in software deployment using Jenkins CICD
• Peer code reviews
• Writing Postgres queries to query database as and when required
• Addressing software vulnerability issues reported by Sonar & Static code analysis tools
• Investigating issues reported in Production during Pager duty support calls.

Technical Environment: Java 8, Spring Boot, Spring Thyme leaf, Karate BDD, Postgres, Postman, Maven, GIT, Jenkins, AWS EC2, RDS, Splunk, Docker

• Project: Staffing Methodology Digitization.
• It is a Citi Bank Application for determining the adequacy of staffing engaged in review and approval of Wholesale Credit Risk activities.
• The objective of methodology is to provide an estimate of the capacity required to cover the expected workload based on documented assumptions.
• Each business group in WCR division creates a workflow with estimated activities and corresponding complexities of those activities, combined with total number of work hours in that region to calculate resource capacity needed for that period.
• Participating in the requirement gathering with business teams, requirement analysis, design, implementation and deployment of the project
• Documenting and updating Business Requirement Document (BRD) & Functional Requirement Document (FRD)
• Actively participate in the daily Scrum meetings to produce deliverables within timelines
• Developing APIs & Business logic using Java 8, Spring Boot and Hibernate
• Developed functionality for Approval process of a Workflow created in SMD application
• Developed business logic for creating and updating data assumptions for each workflow that are required to arrive at resource capacity estimation
• Unit and Integration tests to cover minimum of 90% code using Junit and Mockito
• Peer review of Pull Requests in VCS -Bitbucket
• Involving in Database design and ensuring tables are normalized to improve performance
• Updating and deploying the latest builds in Jenkins pipeline
• Testing and demonstrating the new features to business teams and internal tech teams using Swagger/ Postman / QA environments
• Investigating the issues reported in QA and fixing those issues by coordinating with team
• Fixing the issues reported in SonarQube – Static code analysis tool, to improve code quality
• Ensure the best possible performance using Performance metrics tools – Jmeter.

Technical Environment: Java 11, Spring Boot, Spring Data, Oracle, Postman, Maven, Bitbucket, Jenkins, RedHat OpenShift, Splunk

• This project is to build a smart home monitoring system which is designed using Verilog and Implemented using spartan-3 FPGA (Field-programmable gate Array) as a micro-Controller
• Studied the IC Design Flow and the block level Functionality of the VLSI-IC circuit
• Revised, modularized, and updated, existing home automation systems reducing operating costs and improving functionality
• Involved in with RTL Description using HDLs to test functionality
• Learned in depth about the sensors, LDR, PIR, LM35 and they are Integrated with FPGA
• Implemented the design using Verilog and Gained Hands on experience using this tool
• Simulated the design using Xilinx, thoroughly examined the Informative graphs and waveforms.