senior Java Architect

Anusha Manukonda

Email: ************@*****.***

Phone:469-***-****

Sr Java Solution Architect

Having 14 years of experience in architecture, design, and development of the Web, Client/Server, and Enterprise Applications that include Analysis, Design, Coding, Testing, and Implementation of the systems.

Performing in different roles as a Technical Lead, Senior Developer proficient in obtaining project requirements from user and manager, formulating the requirements into design specs, preparing system specifications, assigning tasks to team members, and tracking the progress

Expertise in design and development of architectural solutions in cloud-native platforms such as AWS (S3, EC2, ECS, ECR, EKS, Lambda, DynamoDB, RDS, VPC, etc).

Experienced in leveraging AI/ML and GitHub Copilot to accelerate development, improve code quality, and enhance productivity. Skilled in designing secure, high-performance systems in healthcare and financial domains, ensuring compliance and reliability.

Expertise in advanced APEX/Visualforce development, including high volume data processing, managed packages, community portals, SSO, Canvas applications and metadata API.

Designed and developed SFA based Application on Froce.com Platform in Salesforce.com environment with Apex programming language at backend and Visual Force pages as user interface

Solid experience Interacting with Various business user groups for gathering the requirements for Salesforce implementation and documented the Business and Software Requirements.

Solid experience with container management technologies like Docker, Kubernetes, and Helm.

Expertise in developing Web based Distributed and Front-End applications in a three-tier architecture using Java, J2EE, HTML5, Backbone JS, Bootstrap, Angular 16/17, AJAX, Node JS, JSP, Servlets, Kafka, Confluent, RabbitMQ Messaging, CSS, JavaBeans.

Extensive working experience on Apache Kafka, Confluent Kafka, Kafka Streaming using KStream, KTable, KGroupedStream, KSQL

Extensive working experience on Confluent Kafka and Kafka components and real time message systems.

Expertise in developing applications using PowerApps, canvas, model driven app, Common Data Service CDS, Azure Data-factory SQL, Forms, SharePoint online, Dynamics 365 CRM, Azure, Web Services.

Experience with databases such as Oracle 11g/10g/9i/8i, SQL Server, Sybase, MySQL, RDBMS Design, PL/SQL, MS-Access and written complex SQL queries and Stored Procedures.

Experience in setup and build GCP infrastructure using resources Shared service VPC model, Compute engine, Cloud Storage, Cloud SQL, IAM using the Terraform foundation modules.

Solid experience in creating SOAP & REST microservices using Golang for core banking APIs used by Enterprise Banking applications and bank’s affiliates using Oracle SOA, OSB, Spring Boot and Spring

Web Services.

Solid Experience in Designing and developing single sign-on, identity, and access management solutions using KeyCloak, OAuth, OIDC, and SAML.

Very good experience on web services access and routing on containers in Kubernetes cluster using API Gateway, Istio, and Ambassador.

Solid hands-on experience and strong programming skills in java, JavaScript, Python, Shell Scripting, SQL, SQLAlchemy and GraphQL.

Expertise in developing front-end applications and single-page web applications using HTML5, jQuery, CSS3, and JavaScript frameworks such as React and TypeScript.

Expertise in using OMS to streamline the processing of claims by automating tasks such as verifying patient eligibility, checking coverage details, and processing payments.

Hands on experience on Unified Data Analytics with Databricks, Databricks Workspace User Interface, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL.

Experience in Develop and Configure customizations for IBM Operational Decision Manager ODM implementations such as Rule designer, Decision Center, Rule execution server, and Rule Execution Unit in a large-scale industry.

Experience in Develop real-time streaming applications integrated with Kafka and Nifi to handle large volume and velocity data streams in a scalable, reliable and fault tolerant manner for Confidential Campaign management analytics.

Experience in using various RDBMS like DB2, Oracle, PostgreSQL, and NoSQL databases MongoDB, DynamoDB, and Graph databases such as ArangoDB and Neo4J.

Experience in Source control systems such as Git, SVN, CVS, and Clear case and defect tracking systems such as VersionOne, Jira, and Test Link.

Good understanding of Spark Architecture with Databricks, Structured Streaming. Setting Up AWS and Microsoft Azure with Databricks, Databricks Workspace for Business Analytics, Manage Clusters in Databricks, Managing the Machine Learning Lifecycle

Proficient using J2SE and J2EE middleware technologies such JSP, JSF, Servlets, EJB, JMS, Hibernate, Java Beans, JDBC, RMI, HTML, XML, XSLT, CSS, Web Services, and JavaScript.

Extensive Programming skills in Java technology, including J2EE Components like JDBC, Servlets, JSP, Java Beans, & SQL.

Experience and expertise in GCP environment in particular Google Big Query, Google Pub/sub, Google Spanner, Dataflow, Compute Engine, Google Storage.

Led the cloud migration of a mission-critical fintech platform from AWS to GCP involving 30+ microservices.

Good Experience working in Salesforce developing lightning web components and Apex classes and integrations with IAM, microservices.

Good experience with agile Scrum development process and KanBan development process

Highly motivated self-starter with excellent communication, analytical, and team player skills

Tools & Technologies

Cloud Platforms:

GCP (GKE, Compute Engine, Cloud Functions, Pub/Sub, Cloud Storage)

AWS (EC2, S3, ECS, EKS, Lambda, DynamoDB)

Azure (AKS, Azure Functions, Blob Storage, Event Hub)

Containerization & Orchestration: Docker, Kubernetes, Helm

AI & Developer Productivity: GitHub Copilot, AI-assisted development, automation tools

CI/CD & DevOps: Jenkins, GitLab CI/CD, Maven, Sonatype Nexus, Bitbucket, GitHub, Mercurial

Programming Languages & Scripting: Java, Python, JavaScript, SQL, Shell Scripting

Frameworks & Libraries: Spring, Spring Boot, Spring MVC, Spring Security, Hibernate, JPA, GraphQL, SQLAlchemy

Messaging & Streaming: Apache Kafka, Confluent Kafka, RabbitMQ

Frontend Technologies: HTML5, CSS3, JavaScript, TypeScript, React, jQuery, JSP

Workflow & BPM Tools: Camunda 7.x, Camunda 8.x, Camunda Operate, Optimize, Identity, Web Modeler, IBM BPMN, Red Hat JBPM, Appian, Drools

Security & Identity Management: Keycloak, OAuth 2.0, OIDC, SAML

Salesforce Technologies: Salesforce (Service Cloud, Sales Cloud, Marketing Cloud), Apex Classes, Apex Triggers, Lightning Components, Data Loader, Data Import Wizard, Workflows, Reports & Dashboards

Databases: Oracle, PostgreSQL, MySQL, DB2, PL/SQL

NoSQL & Graph Databases: MongoDB, DynamoDB, ArangoDB, Neo4j

Application Servers & Tools: Apache Tomcat, IBM WebSphere Application Server

Rule Engines: IBM Operational Decision Manager (ODM) – Rule Designer, Decision Center, Rule Execution Server

Testing & Monitoring Tools: JUnit, Groovy, Postman

Version Control & Issue Tracking: Git, SVN, CVS, ClearCase, Jira, VersionOne, TestLink

Educational Qualifications

Master’s in Computers and Information Science, 2017, Southern Arkansas University, Arkansas, USA.

Bachelor of Technology in Computer Science Engineering, 2011, St. Ann’s College of Engineering & Technology, Chirala, India.

Achievements & Certifications

Certified Platform Developer I - Salesforce

Technology/Tools: Camunda 8, BPMN 2.0, OAuth,.Net, Java, Spring Boot, Microservices, VueJS, React, Node JS, Kafka, Docker, Kubernetes, Helm, Grafana, PostgreSQL, AWS (S3, ECR, ECS, EKS, DynamoDB, etc.)

Project Description: MCM - Build a multi-tenant enterprise medical examination Case Management System with the Six Step Operational methodology with associated contractual and internal tracking steps. eProcess and Tracking Tool are outdated tools that make it hard for QTC to move quickly to satisfy existing client requests or bid on new business. This project aims to design and build a new, modernized platform to satisfy these requirements for FOH and other LOB’s

Responsibilities

•Architected end-to-end solutions using Java/Spring Boot microservices, AWS cloud services, Led migration of legacy applications to microservices-based architectures and partnered with product owners and stakeholders to translate business needs into technical architectures.

•Led the design and implementation of Camunda-based BPM solutions using Java 17 frameworks for QTC, a medical evaluation provider supporting government contracts.

•Designed the architecture and implemented a six-step business process for Leidos QTC Federal clients using Camunda BPMN process

•Implemented QTC business architecture with Camunda, Spring boot microservices to transform complex manual workflows into automated, traceable processes.

•Designed and implemented AI/ML-driven healthcare solutions for medical evaluation and improving automation, accuracy, and operational efficiency

•Migrated legacy application workflows to Camunda BPMN with custom connectors written in Java 17, improving performance and maintainability.

•Developed custom Camunda Connectors in Java to integrate with third-party healthcare APIs, securely exchanging patient information while maintaining HIPAA compliance.

•Engineered a dynamic frontend application using React to provide healthcare providers with a real-time dashboard of patient workflows and task lists.

•Contributed to the migration of a monolithic EHR system to microservices architecture, implementing new services with Spring Boot to handle patient scheduling and billing.

•Design and development of reference applications Spring MVC, Spring Security, Spring Batch, Spring DAO, Spring JDBC etc.

•Leveraged Generative AI (Copilot/LLMs) to automate clinical documentation, claims summarization, and denial explanation generation, improving productivity

•Developed AI-powered chatbots for member and provider support, enhancing user experience and reducing support workload

•Integrated AI/ML services via REST APIs, enabling real-time predictions and intelligent decision-making within microservices

•Design and development of interactive single-page web applications using JavaScript, JQuery, and JavaScript frameworks such as AngularJS, ReactJS, etc.

•Implemented state management with NgRx, reducing API calls and improving application responsiveness.

•Involved in design & implementation of the client web application that includes a technical stack of Angular 17, AngularMaterial, SCSS, JavaScript, TypeScript, NodeJS, ExpressJS, MongoDB, and Visual Studio Code.

•Established communication channels between Micro-frontend services using shared services and event buses for cross-app interaction.

•Ensured HIPAA compliance with end-to-end encryption, role-based access control, and audit logging via Kafka topics.

•Integrated FHIR APIs and HL7 event consumers into Kafka to support interoperability with external providers and EHR systems.

•Designing and Developing Java and python libraries and re-usable components to ease the development and deployment of the application on the private cloud.

•Designed eligibility check service (270/271 transactions) with Kafka producers/consumers for async responses from multiple providers.

•Designed custom exporters to stream workflow events from Zeebe to PostgreSQL and AWS Elasticsearch.

•Developed a large-scale search engine using ElasticSearch and Lucene to provide fast and accurate search results across a massive dataset.

•Designed and implemented RESTful APIs in Java to support AI-driven customer service applications, improving response time

•Developed React-based admin dashboards with reusable components and state management via Redux.

•Delivered React UI components for customer portals, integrating with backend services via REST APIs.

•Leveraged cloud-native features by deploying Camunda 8 components (Operate, Tasklist, Optimize) on Kubernetes using Helm charts.

•Camunda uses Java for its core engine, workflow execution, and service integration. Job workers written in Java code for delegates, listeners, and tests, and often integrate it inside Spring Boot microservices or expose it through REST APIs.

•Defined Java classes to represent the input and output data structures of custom connector to handle the data coming from and going to the BPMN process.

•Java 17 is used to implement Camunda Custom connectors, which are composed of a Connector template (a JSON file).

•Develop various screens for the front end using React JS and used various predefined components from NPM (Node Package Manager) and Redux libraries.

•Created UI templates and functionality to be merged with the backend REST/SOAP API for proper communication of front and back end to enable efficient working of application

•Involved setting up self-managed Camunda 8 Engine, sizing the environment & Deploying bpmn process with different tenants

•Collaborated with the platform team to onboard tenants onto Camunda 8, ensuring seamless integration and configuration within a multi-tenant environment.

•Developed a custom gateway for the Camunda 8 engine to expose Zeebe APIs with tenant-specific access, enabling secure and scalable workflow interactions.

•Implemented reusable Zeebe workers on Java 17 frameworks to support BPMN process execution across multiple workflows.

•Developed and maintained Spring Boot microservices, integrating Camunda BPMN processes with backend services to support seamless interaction with the UI layer.

•Used Camunda retries for service tasks and implemented custom retry mechanisms using intermediate error catch events.

•Parsed email inbox and trigger message API to send message to appropriate instance to move forward Customized out of box Rest API of Camunda by registering custom rest class to Resource Config Customizer

•Implemented OAuth 2.0 security for Camunda BPM to ensure secure authentication and authorization across process-driven applications.

•Integrated AWS SQS queues with Camunda workflows to enable reliable, asynchronous communication between distributed services.

•Built and optimized Splunk dashboards, queries, and alerts to enable proactive monitoring. Performed root cause analysis of production incidents and created detailed incident reports.

•Reduced integration complexity with reusable Camel route templates and centralized error handling.

•Streamlined incident management by improving cross-team collaboration between Support, DevOps, and QA.

•Designed and implemented Splunk-based monitoring solutions to track application health and system performance.

•Automated monitoring with Splunk dashboards, queries, and alerts for proactive detection & performed root cause analysis and authored incident reports for leadership.

•Contributed to test-driven development using JUnit and Mockito, creating reusable test libraries for multiple projects.

Technology/Tools: Salesforce 1, Marketing Cloud, SOAP, SOQL and SOSL, KeyCloak, OAuth, OIDC, Java, Python, Terraform, Spring, Spring Boot, Kafka, Docker, Kubernetes, Camunda, Helm, DataDog, PostgreSQL, AWS(S3, ECR, ECS, EKS, DynamoDB etc.), Salesforce.

Project Description: Colorado Access is a non-profit health plan that provides Medicaid and Child Health Plan Plus (CHP+) services to Colorado residents. This project is to modernize and automate core healthcare insurance operations including member enrollment, eligibility verification, claims processing, and provider management by implementing scalable, rules-driven workflow solutions. The objective was to reduce manual intervention, so introduced Camunda BPMN process to improve compliance with healthcare regulations, and enhance operational efficiency.

Responsibilities

•Architected and developed a full-stack healthcare application using TypeScript, Node.js, Express.js, and React.js to enhance practitioner workflows.

•Migrated legacy batch claims processing to Kafka-driven streaming pipelines, reducing claim settlement time from days to hours.

•Developed backend services using Java and Spring Boot, breaking down large systems into smaller, independent microservices. These services were containerized using Docker and deployed on Google Kubernetes Engine (GKE), which helped us scale applications easily and handle high traffic without performance issues.

•Enabled Copilot-assisted workflows for generating reports, summaries, and policy interpretations

•For communication between services designed a mix of REST APIs and event-driven architecture. We used Google Pub/Sub to enable asynchronous communication—this helped decouple services and made the system more resilient. For example, when a transaction or claim was created, an event was published to Pub/Sub, and multiple downstream services processed it independently.

•Secured APIs using OAuth2 and JWT tokens, implemented proper IAM roles for access control, and used Secret Manager to handle sensitive configurations.

•Designed event-driven architecture using Apache Kafka for asynchronous processing of claims and medical workflows

•Integrated Machine Learning models for claims auto-adjudication, fraud detection, and member risk stratification, reducing manual claim processing efforts

•Hands-on experience with healthcare systems: Membership, Billing, Claims Payment (HIPAA, EDI 4010/5010, ICD-9/10, X12 codes: 834, 837, 835, 270, 271).

•Created HL7 interfaces for real-time health data exchange, including ADT, ORM, ORU, and other HL7 message types.

•Led integration of HealthEdge’s HR Payor system into existing healthcare platforms for claims, benefits, and member data processing.

•Developed custom Splunk queries for log correlation across microservices, enabling faster fault isolation. Automated alerting workflows in Splunk to notify support teams of anomalies before service impact.

•Designed Kafka pipelines to process EDI 837 claims daily with Spring Boot microservices, reducing claim cycle times

•Implemented and tested HIPAA-compliant EDI transactions: 270, 271, 276, 277, 278, 834, 835, 837 (P/I/D), 997, and 999. Deep knowledge of Medicaid/Medicare workflows.

•Designed and implemented event-driven Spring Boot microservices integrated with Confluent Kafka for claims processing, eligibility checks, and real-time EDI (837/835) transactions.

•Reduced claim turnaround time and improved decision accuracy through AI-driven automation pipelines

•Few scenarios where we needed lightweight processing, like triggering notifications or handling file uploads, I used Cloud Functions. These serverless components helped reduce infrastructure overhead and were very cost-effective.

•Healthcare Claims Streaming Platform: Built event-driven microservices on Confluent Kafka & Spring Boot, processing EDI 837 claims with Schema Registry

•Integrated Order Management Systems (OMS) with billing platforms to automate invoice generation and ensure timely payments.

•Implemented various screens for the front end using React.js and used various predefined components from NPM (Node Package Manager) and redux library.

•For storage needs, we relied on Google Cloud Storage to manage documents, logs, and large datasets. We also configured lifecycle policies to optimize storage costs over time.

•Involved in setting up CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI/CD. The pipeline automated the entire flow—from code commit to build, testing, Docker image creation, and deployment to GKE.

•Terraform is used to provision and manage GCP infrastructure, which made our environments consistent and easy to replicate.

•Deployed Spring Boot microservices using Docker on AWS EC2 via AWS Console and Lambda functions.

•Design and develop user interface screens for User Registration, Forgot Password/Password Reset and update password pages using KeyCloak UI templates, CSS, Java Script.

•Designed and implemented a Micro frontend Shell that dynamically loads and integrates multiple independent Angular MFEs at runtime.

•Integrated frontend modules with REST APIs and Microservices for real-time data updates and high scalability.

•implemented monitoring and logging using GCP Cloud Monitoring (Stackdriver) along with Prometheus and Grafana. We set up alerts for critical metrics like CPU usage, memory, and API response times, which helped us quickly identify and resolve production issues.

•Integrated Splunk with AWS CloudWatch, Lambda, and S3 for centralized cloud logging and monitoring.

•Optimized Splunk index performance by managing data retention, archiving, and indexing strategies & integrated Splunk with AWS CloudWatch, Lambda, and S3 for centralized cloud logging and monitoring.

•Deployed infrastructure using Azure Resource Manager (ARM) for consistent and automated resource provisioning.

•Developing Helm charts, helm files and K8S configuration YAMLs to deploy KeyCloak and supporting web services on EKS cluster.

Technology/Tools

Java, Spring, Spring Boot, Python, Salesforce.com IDE, Service Cloud, Salesforce 1, Marketing Cloud, SOAP, SOQL and SOSL, Experience, Visual force, APEX Classes, APEX Triggers, CUJs, Workflows, Fast API, SQL Alchemy, JUnit, STS, PyCharm, Docker, Kubernetes, Maven, GitLab, Jenkins, Azure AD, DB2, PostgreSQL, Azure (Lambda, Step Functions, DynamoDB, S3, EC2, ECS, ECR, RDS, VPC, etc)

Salesforce (Lightning Components, Apex)

Project Description

This project is to automate and optimizes TIAA's internal financial service workflows related to retirement plan administration, fund disbursements, compliance checks. The goal was to modernize legacy manual processes,

ensure regulatory compliance, and improve operational efficiency by implementing workflow automation using Camunda BPM integrated with Java-based microservices.

Responsibilities

•Designed the J2EE back-end infrastructure that collects, stores, and distributes clients' information amongst the different regions that the organization services.

•Experience in using build/deploy tools such as Jenkins, Docker and OpenShift for Continuous Integration & Deployment for Microservices.

•Strong Java Architecture and Development background, Spring BATCH, Drools Technical Skills

•Experience in creating SOAP & REST microservices for core banking APIs by using Oracle SOA, Spring Boot Web Services.

•Handled Sev-1 and Sev-2 incidents, driving rapid triage and resolution under strict SLAs. Reduced MTTR (Mean Time to Resolution) by designing automated monitoring dashboards and Splunk alerts.

•Extensively used Splunk, Grafana, AppDynamics and HP web diagnostics during and after the load test to identify issues observed during application transactions.

•Working Knowledge on Sales Cloud, Service Cloud, Custom Cloud and Apex Programming on Force.com Platform.

•Utilized NgRx state management for handling large datasets efficiently and improving UI responsiveness.

•Used Data Loader, Informatica cloud connector to insert, update and bulk import & export of data from Salesforce.com SObjects.

•Designed Kafka-based event streaming architecture for real-time payments, credit card transactions, and fraud monitoring.

•Integrated Kafka Streams with real-time fraud detection engine, reducing false positives, while improving transaction monitoring speed.

•Developed transaction event producer/consumer microservices in Spring Boot integrated with Confluent Kafka.

•Deployed Confluent components on Azure AKS with Helm charts, ensuring scalability and resilience.

•Performed detailed Root Cause Analysis (RCA) and delivered post-incident reports to stakeholders.

•Perform detailed analysis of business and technical requirements and designed the solution by customizing various standard objects of SalesForce.com (SFDC) and other Platform based technologies like Visual Force, Force.com AP and Web Services. Developed various custom Objects, Tabs, Components and Visual Force pages and Controllers.

•Built Web pages that are more user-interactive using jQuery plugins for Drag and Drop, Auto Complete, JSON, JavaScript and ReactJS.

•Built integration flows using Apache Camel routes, leveraging various AIPs (Splitter, Aggregator, Content-Based Router).

•Developed a front-end application for internal team productivity use using React.js and FLUX architecture.

•Led Azure Kubernetes deployments with Helm charts, enabling auto-scaling and self-healing services.

•Experience in creating controllers for handling payment transactions requests, and Online payments that are electronically withdrawn from bank account.

•Designed and programmed MVC architecture using OOD to allow retrieval utility to work as the backend for future mobile applications as well as test coverage by creating an architecture that would allow inclusion of regression tests.

•Used Angular 16 as a framework to create a responsive web application, which can bind data to specific views and synchronize data with the server.

•Developed microservices for payment processing using Java and Spring Boot, deployed on Google Cloud Platform (GCP) services like Compute Engine and Kubernetes Engine.

•Re-architected Spring Boot services to run on GKE (Google Kubernetes Engine) with improved scalability and auto-healing.

•Designed a hybrid CI/CD pipeline using Jenkins and Google Cloud Build integrated with GitHub Actions.

•Replaced AWS RDS and DynamoDB with Cloud SQL and Firestore, ensuring seamless data migration and minimal downtime.

•Created responsive, dynamic user interfaces with Angular 16, utilizing Angular CLI for project scaffolding, TypeScript for strong typing, and RxJS for reactive programming.

•Created a Java application leveraging machine learning algorithms to detect and prevent fraudulent activities in real-time financial transactions.

•Led the development of AI-driven chatbots for customer support and financial advisory.

•Collaborated with cross-functional teams to integrate AI chatbots with core banking systems, ensuring secure and seamless transactions.

•Implemented containerization using Docker and managed container orchestration with Kubernetes on Azure Kubernetes Service (AKS).

•Integrated Java 17 APIs to provide data services for financial transactions, portfolio management, and real-time market data.

•Deployed the Camunda web application to Apache Tomcat servlet container and configured BPMN processes, monitor running instances, and user tasks.

•Successfully managing, developing, supporting, implementation SEI-CMM Level2-5 assessment and maintenance in 12 months under budget.

•Developed a fraud detection system using Neo4j to analyze transaction patterns and detect anomalies in financial transactions.

•Contributed to Azure resource provisioning with Terraform, setting up monitoring and alerting via Application Insights.

•Reduced MTTR (Mean Time to Resolution) by designing automated monitoring dashboards and Splunk alerts.

•Built CI/CD pipelines in Azure DevOps with automated unit/integration testing and container deployments to AKS.

•Development of the Docker Images, Docker Compose and Azure Kubernetes config files for vendor applications, custom web applications, and microservices with various runtimes.

•Designed and implemented CAMUNDA 8 workflows to automate EDA communication process for resource maintenance in cloud environment.

•Created CAMUNDA 8 workflows for multiple use cases which include instantiation, health check and configuration of PNF devices on cloud environment.

•Created interactive dashboards and financial management tools using Angular 16, enabling users to track investments, portfolio performance, and financial forecasts.

•Designed and developed Java 17 services for managing financial transactions, user accounts, and investment analytics.

•Implement error handling and resilience strategies to handle failures gracefully. Used Camunda's built-in error handling mechanisms, retries, and external libraries for circuit-breaking and fallback mechanisms.

•Implemented OMS portfolio management to track and manage investment orders, monitor portfolio performance, and generate reports for clients and regulatory purposes.

•Analyzed the SQL scripts and designed the solution to implement using PySpark. Knowledge on handling Hive queries using Spark SQL that integrate with Spark environment implemented in Scala.

•Used Services, Asynchronous tasks and Alerts Notification API to implement event reminder feature into the mobile app.

•Developed Salesforce integrations using Apex classes and REST APIs to enable real-time data exchange between Salesforce CRM and AWS cloud services.

•Created and deployed Salesforce Lightning Components to support dynamic, responsive user experiences within the CRM interface.

•Developing the JUnit test suits and integration test suits using groovy to support the test-driven development of the frameworks and services.

•Development of the Maven Plugins, GitLab CI/CD scripts to automate code scans, code quality checks, and various build and deployment tasks.

Technology/Tools: Java 11, J2EE, Spring, Spring BOOT, Camunda7, Hibernate, UML, Node Js, REST & SOAP, Log4j, PL/SQL, Oracle, AQT, ReadyAPI, JUNIT, Maven, Sonatype(Nexus), Angular 10/12 PCF, WebSphere Application Server, Kafka, Jenkins, Mercurial, CVS, Unix, AQT, Kidff3, Agile.

Project Description: MassMutual’s legacy policy administration system, they migrated from Legacy based architecture to microservices-based architecture using Java and Spring Boot. The aim was to improve the agility, scalability, and maintainability of the insurance platform, which handles life insurance policy lifecycle management, underwriting, claims, billing, and customer servicing.

Responsibilities:

•Experience in using build/deploy tools such as

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