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Click here or scroll down to respond to this candidateCandidate's Name
Java Full Stack DeveloperEmail: EMAIL AVAILABLE Phone: Street Address -581-8483 LinkedIn: https://LINKEDIN LINK AVAILABLEPROFESSIONAL SUMMARY:Around 12 years of experience in Java/J2EE, Software Development Life Cycle, Object Oriented programming, developing, and testing of Client/Server, Enterprise, and Web Applications.Facilitated real-time data analytics in financial applications by integrating JPA and Hibernate with in-memory databases and caching solutions, supporting instantaneous data retrieval and analysis for decision-making.Knowledgeable in version control using SVN and Git, project management with Maven, Liberty, and Jira, and adept at producing comprehensive technical documentation.Designed and deployed scalable, high-availability applications on AWS using services such as EC2, S3, RDS, Lambda, and VPC, ensuring optimal performance and cost efficiency.Skilled in front-end development technologies including Java, J2EE, HTML, CSS, JavaScript, JQuery, JSON, XML, Bootstrap (3 or 4), and Angular, with expertise in crafting responsive and progressive web applications.Built data processing workflows using Python, leveraging libraries like Pandas and NumPy for efficient manipulation of large datasets in ETL operations.Designed and implemented microservices for data aggregation, transformation, and analysis using Python and Node.js in a distributed architecture.Developed scalable banking applications using Java, JavaScript, and ReactJS, delivering responsive and user-friendly interfaces that streamline customer interactions and financial processes.Led front-end development leveraging ReactJS and Node.js in banking platforms, ensuring seamless customer experiences and real-time data visualization using Client-Side MVC frameworks such as Backbone.js.Integrated continuous deployment pipelines with Jenkins, Gradle, Maven, and Git, enabling smooth releases of banking applications while adhering to XP Principles like Test-Driven Development (TDD) and Agile Development methodologies.Designed responsive banking dashboards and mobile interfaces using Bootstrap, ensuring accessibility across devices for enhanced user experience in managing finances.Utilized JavaScript build tools and dependency management, including npm, Bower, Grunt, and Gulp, to automate development workflows, reduce build times, and manage complex financial data effectively in large-scale banking applications.Implemented server-side rendering (SSR) with Next.js, improving performance and SEO for key banking web applications, ensuring rapid load times and enhanced customer engagement.Worked with CI/CD tools such as Jenkins and Yarn to automate deployment processes for real-time financial services, ensuring high availability and continuous improvement in production environments.Containerized banking microservices using Docker and orchestrated deployment through Kubernetes, providing scalable and fault-tolerant solutions to support millions of banking transactions.Ensured high-quality code standards by incorporating unit and automation testing frameworks such as Jest, Jasmine, Protractor, and JUnit, resulting in secure and reliable banking systems.Leveraged Webpack as a module bundler to optimize the performance and scalability of banking platforms, handling large volumes of financial transactions seamlessly.Utilized AEM (Adobe Experience Manager) for managing content delivery in digital banking platforms, improving user engagement through personalized content and targeted financial products.Enhanced application performance through Google Lighthouse performance analysis, ensuring optimal load times and user experience in mission-critical banking services.Integrated with data storage solutions such as MongoDB, PostgreSQL, and DynamoDB for both structured and unstructured data handling in Python and Node.js applications.Developed scalable data pipelines using Python and Node.js to process high-throughput data streams, incorporating message brokers such as Apache Kafka.Designed and implemented scalable and high-performance data models in DynamoDB to support application requirements and optimize query performance.Implemented reactive programming paradigms using Project Reactor or RxJava with Spring WebFlux, improving application responsiveness and resource utilization.Proficiency in UI test frameworks like Jasmine, and Cucumber to ensure the quality and reliability of front-end components and Configured JBOSS Application servers and Oracle databases, employing Hibernate ORM.Utilized Java 11 features such as Local-Variable Type Inference, Sealed Classes, New String Methods, etc. Demonstrated proficiency in RDBMS concepts, SQL queries, and database caching strategies.Exhibited expertise in unit testing tools for JavaScript frameworks like Karma and Jasmine and hosted Microservices on PCF and AWS platforms, migrating applications to AWS.Developed and deployed multi-tiered web-based enterprise applications using J2EE technologies. Acquired good experience in Java 11 features and Spring JPA for entity management.Developed responsive and feature-rich web applications for the financial domain using Angular framework with TypeScript, ensuring scalability, performance, and maintainability.Designed and implemented Elasticsearch clusters to index, search, and analyze large volumes of data, improving search performance and scalability.Configured and deployed web applications on WebLogic, JBoss, and Tomcat. Gained hands-on experience with source control tools like CVS, SVN, Git, and Bitbucket.Deployed EAR and JAR files using Jenkins, ANT, Maven, and Gradle tools. Used Java 11 extensively for developing enterprise applications.Configured and managed CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, enabling automated build, test, and deployment processes to accelerate delivery cycles.TECHNICAL SKILL:LanguagesJava, Python, JS, SQL, PL/SQL, CJava/J2EE TechnologiesServlets, JSP, JDBC, JSF, JavaBeans, MVC, ANT, MAVEN, Log4j, XML, JAXP, DOM, JNDI, JUNIT, Web services, Multithreading, JTA, Custom Tags, Java 6,7,8,11,17.Web TechnologiesHTML, JavaScript, PHP, Node.js, React.js, CSS, DOJO, XML, (SOAP, REST), Angular.Frameworks and IDEsStruts, Spring version 4,5, Hibernate, JPA, Spring MVC, Spring AOP, Spring Boot.Web/Application ServersWeb Logic, Web Sphere, Apache Tomcat., Jetty, JBoss.Other toolsJenkins, Docker, Kubernetes, AWS, Azure, GCP, Agile, GIT, Bitbucket, SOAP, REST, Selenium, Cucumber, Eclipse, NetBeans, IntelliJ, STSDatabase EnvironmentsOracle 10g/9i, SQL Server, H2, MySQL, PostgreSQL, MongoDB, Cosmos DB, Cassandra.Operating SystemsWindows, (Mac & Linux) UNIXEDUCATION DETAILSBachelor of Technology from Universal College of Engineering and Technology, India (2012).WORK EXPERIENCE DETAILSTitle: Lead Full Stack Developer Wells Fargo, New Jersey, NJ. Feb 2022 CurrentResponsibilities:Acquired extensive knowledge of the Spring framework, including Spring AOP, Spring core, Spring JDBC, Spring batch, and Spring MVC, as well as dependency injection and legacy application migration.Demonstrated expertise in Angular framework, leveraging its features to develop dynamic and responsive user interfaces for enterprise-class applications.Optimized front-end performance by minimizing HTTP requests, leveraging browser caching, and lazy loading resources where applicable.Implemented real-time event-driven architectures using AWS Lambda, Amazon SNS, SQS, and Kinesis, enabling responsive and scalable serverless applications.Utilized Spring Cloud components such as Eureka for service discovery, Zuul for API gateway, and Hystrix for circuit breaking, enhancing system resilience and fault tolerance.Implemented OAuth 2.0 authentication and JWT-based authorization mechanisms to secure microservices endpoints, ensuring data privacy and integrity.Automated data extraction and analysis scripts in Python, leveraging APIs and web scraping techniques for data collection and reporting.Developed complex reports in Crystal Reports to support business intelligence initiatives, including detailed financial, sales, and operational data insights.Designed and implemented Power BI dashboards to visualize key performance metrics, enabling real-time data-driven decision-making across departments.Employed Spring Boot Actuator for monitoring and managing application health, providing endpoints for metrics, health checks, and application insights.Developed data integration solutions between PostgreSQL and MongoDB, using ETL processes to migrate and synchronize data, enabling seamless interoperability between relational and NoSQL systems.Developed complex Elasticsearch queries using the Query DSL (Domain Specific Language) to perform full-text searches, aggregations, and filtering operations.Developed complex queries using DynamoDB Query and Scan operations to efficiently retrieve and manipulate data based on various access patterns.Implemented ALB features such as path-based routing, host-based routing, and redirect actions to manage and optimize traffic flow to different application components.Developed single-page applications (SPAs) leveraging JavaScript frameworks like Angular, ensuring smooth navigation and user experience.Applied XP Principles in development, emphasizing continuous feedback, simplicity, and iterative releases to ensure high-quality software delivery within banking and financial systems.Led Test-Driven Development (TDD) efforts, writing unit tests using Jasmine, Protractor, JUnit, and Jest to ensure code correctness and reduce defects in large-scale web applications.Implemented Continuous Deployment pipelines utilizing Jenkins, Gradle, Maven, and Yarn, automating the delivery of new features and fixes with minimal downtime in production environments.Developed and maintained responsive web applications using React, Backbone.js, and Client-Side MVC frameworks, delivering seamless user experiences across desktop and mobile platforms in the banking sector.Streamlined development workflows with JavaScript build tools such as npm, Bower, Grunt, and Gulp, automating repetitive tasks and enhancing the efficiency of front-end development processes.Built responsive designs using Bootstrap and implemented mobile-first development, ensuring cross-device compatibility and enhanced user interactions for banking customers.Optimized application performance by implementing Server-Side Rendering (SSR) with Next.js, improving load times and SEO for high-traffic financial web applications.Containerized applications using Docker and deployed them via Kubernetes, ensuring scalability, high availability, and fault tolerance in distributed banking platforms.Integrated AEM (Adobe Experience Manager) for dynamic content management, delivering personalized customer experiences in digital banking platforms.Utilized Webpack for efficient module bundling and dependency management, ensuring faster load times and reduced code size in web applications.Employed Google Lighthouse for performance audits and improvements, optimizing critical financial web applications to enhance user experience and meet stringent performance benchmarks.Improved code quality and maintainability by incorporating Sonar for code quality analysis, enforcing best practices, and ensuring compliance with security standards.Enhanced CI/CD pipelines using Yarn and Jenkins, ensuring continuous integration and smooth deployment of new banking features with minimal risk to live environments.Applied expertise in Kubernetes to manage the orchestration of containers across environments, ensuring reliable deployment of microservices within scalable banking systems.Integrated Spring Cloud for service discovery and dynamic routing, ensuring scalability and fault tolerance of the microservices architecture.Implemented ETL workflows with Python and Spark, performing data extraction, transformation, and loading from diverse data sources like HDFS, S3, and relational databases.Optimized Spark jobs using advanced techniques such as partitioning, caching, and broadcasting in Python to reduce execution times and memory consumption.Implemented automated monitoring and logging solutions using AWS CloudWatch, CloudTrail, and AWS X-Ray, providing detailed insights into application performance and operational health.Utilized relational database management systems (RDBMS) such as PostgreSQL or MySQL to store credit card data with proper normalization and indexing.Developed modern web applications using JavaScript and front-end frameworks, ensuring responsive and user-friendly interfaces.Integrated and optimized AG Grid for advanced table functionalities, delivering highly performant grid features like sorting, filtering, and virtualization of large datasets.Utilized JEST framework to implement and maintain unit tests, improving code quality and ensuring stability across web applications through comprehensive test coverage.Packaged and deployed modern web applications using Yeoman, Grunt, and Gulp, streamlining development workflows and automating build tasks.Managed build and CI/CD pipelines with tools like Ant, Maven, and Nexus, alongside source control systems such as Git and Jenkins/NPM to ensure smooth integration, build, and deployment processes.Processed and managed large datasets in real-time applications leveraging big-data technologies such as KDB/Q, efficiently handling high volumes of streaming data in trading and financial applications.Implemented data access layer using Spring Data JPA or Hibernate to interact with the database, abstracting away the complexity of SQL queries and configured and managed AWS IAM roles, policies, and multi-factor authentication (MFA) to enforce granular access control and enhance security across AWS resources.Implemented logging, monitoring, and alerting solutions using Spring Boot Actuator and other monitoring tools to maintain the health and performance of the microservice.Designed and developed reusable UI components in JavaScript and AG Grid, enhancing performance and scalability in data-intensive applications.Implemented advanced data visualization and real-time updates in web applications, leveraging AG Grid's ability to handle large datasets with minimal impact on user experience.Configured and customized build automation tools such as Grunt/Gulp to streamline development workflows, optimize asset delivery, and improve overall build performance.Enhanced code quality and ensured functionality by writing unit and integration tests using JEST, leading to improved software reliability and reduced production bugs.Implemented logging within the Spring Boot microservices using frameworks like Logback or Log4j2 to capture runtime information and debug potential issues.Designed, developed, and consumed REST APIs for seamless data exchange between the Customer Data Platform (CDP) and other banking systems, utilizing tools like Postman for testing and validation.Utilizing Kafka Streams for real-time analysis of transactions to detect potentially fraudulent patterns and behaviors and RESTful microservices using Spring Boot, enabling modular and scalable backend architectures.Integrated third-party financial services into core banking platforms using JDBC and Hibernate, enabling features such as credit scoring, payment processing, and external fund transfers.Environment: JDK 1.8, Spring, Angular, Hibernate, Python, Spring Boot, Azure, LINUX, Maven, RESTful Web Services, Jenkins, HTML5, CSS3, React JS, Bootstrap, Spring Batch, OpenShift, Next JS, Redis Cache, JavaScript, jQuery, Ajax, Adonis js, Node.js, MongoDB, SoapUI, SOAP Cassandra, gRPC, RESTful Web Services, NOSQL, Postman, Azure Cosmos DB, JUnit, JMeter, Git, JAX-RS, Elastic Search, JIRA, Cucumber, Kafka, Putty, Agile, RabbitMQ, Swagger, Splunk.Title: Sr Full Stack Developer TD Bank, New Jersey, NJ Nov 2020 Jan 2022Responsibilities:Leveraged Docker containers and Kubernetes orchestration for deploying and managing microservices, enabling seamless scaling and resource utilization optimization.Leveraged GCP services such as Compute Engine, Kubernetes Engine, and Cloud Functions for deploying and managing applications with optimal performance and cost efficiency.Developed reactive, non-blocking API endpoints using Spring Boot's Web Flux and Java 8's Reactive Streams and Utilized Java 8's Optional and Spring Boot's @Nullable annotations to handle nullability.Automated infrastructure provisioning and configuration management using Terraform and Ansible, enabling infrastructure as code (IaC) practices for reproducible and scalable deployments on GCP.Utilized React Router for declarative routing and navigation, providing users with intuitive navigation paths and enhancing overall site usability.Configured asynchronous communication between microservices using Spring Boot and RabbitMQ, improving system responsiveness and scalability.Developed interactive and responsive web applications using JavaScript, enhancing user engagement and overall application performance.Integrated Crystal Reports with various SQL Server databases to automate reporting workflows and streamline data extraction.Implemented dynamic and complex UI components using JavaScript and AG Grid, enabling efficient data handling and real-time updates in web applications.Optimized application performance by leveraging Grunt/Gulp for task automation, reducing build times and enhancing the developer experience.Built modular and scalable codebases with modern JavaScript ES6+ features, promoting maintainability and reusability across web applications.Integrated continuous integration and deployment pipelines with Jenkins, ensuring seamless deployment of JavaScript applications across environments with NPM and Git for version control.Led the development of big data solutions for real-time applications by utilizing KDB/Q for high-frequency data processing, significantly improving system responsiveness and data throughput.Developed and executed unit tests using JEST, ensuring the reliability of JavaScript code with thorough test coverage and rapid feedback cycles during development.Improved data processing efficiency in real-time applications by utilizing in-memory computing techniques and big-data frameworks to handle and analyze vast datasets with minimal latency.Utilized Power BI DAX and M Query to create custom measures, data transformations, and optimized report performance for large datasets.Led the migration of legacy reporting solutions from Crystal Reports to Power BI, ensuring seamless transition with improved visualization capabilities.Leveraged React Hooks for state management and side effects, simplifying component logic and improving code readability 8gfamiliar with build tools like Maven, application servers like WebLogic and Apache Tomcat, and version control systems like Git and GitHub.Utilized modern JavaScript (ES6+) features such as arrow functions, template literals, destructuring, and async/await to write clean, efficient, and maintainable code.Championed Agile Development practices, participating in sprint planning, daily stand-ups, and retrospectives to continuously deliver incremental value to banking applications.Developed modular and maintainable code using React and Node.js, ensuring scalability and reducing technical debt in fast-evolving financial platforms.Leveraged Client-Side MVC frameworks like Backbone.js to structure and organize complex financial applications, improving code maintainability and user interaction speed.Automated front-end tasks using Gulp and Grunt, optimizing the build pipeline and reducing manual intervention in development and deployment processes.Integrated mobile-first, responsive design principles across applications, using Bootstrap and ensuring seamless user experiences across desktop, tablet, and mobile devices for banking clients.Enhanced end-to-end testing coverage with Protractor, automating the testing of complex user workflows in web applications to catch defects before production deployment.Utilized Gradle and Maven for building and managing dependencies in Java-based projects, ensuring reliable and reproducible builds across development teams.Implemented CI/CD pipelines with Jenkins, orchestrating the deployment of banking applications in multi-stage environments while ensuring minimal downtime and swift rollbacks in case of issues.Optimized application performance and SEO with SSR using Next.js, providing fast load times for banking applications that handle large traffic loads.Developed Docker containers to encapsulate application dependencies, ensuring consistent environments across development, testing, and production stages.Monitored application performance with Google Lighthouse, addressing performance bottlenecks and improving user engagement on high-traffic financial platforms.Applied rigorous testing standards by utilizing Jest for unit testing React components, ensuring the reliability and maintainability of front-end code.Enhanced application stability through SonarQube, conducting regular code quality and coverage assessments to ensure adherence to industry standards and best practices.Leveraged Kubernetes for managing containerized applications, ensuring scalability and automated failover in critical banking systems.Implemented RESTful APIs using Spring MVC or Spring WebFlux, facilitating seamless communication between client and server applications and utilizing Spring Data JPA for simplified data access and manipulation, reducing boilerplate code and increasing productivity.Implemented security measures such as OAuth2 with Spring Security, ensuring secure authentication and authorization mechanisms within applications.Processed massive datasets in real-time using Spark Streaming and Python, integrating with Kafka for stream ingestion and event-driven data processing.Leveraged Spark SQL and DataFrames API within Python to run complex queries and perform high-level data manipulations, improving query performance and scalability.Deployed machine learning models at scale with Spark MLlib and Python, handling feature engineering, model training, and batch predictions over large datasets.Integrated Spark with cloud-based solutions like AWS EMR and Databricks for distributed computing, enabling seamless execution of data pipelines in Python on cloud infrastructure.Implemented state management solutions like Redux or Context API for managing application state across multiple components, ensuring consistent data flow and improved code organization.Implemented responsive design principles using CSS frameworks like Bootstrap or Material-UI, ensuring cross-device compatibility and a consistent user experience across desktop and mobile devices.Leveraged Google Cloud Pub/Sub for asynchronous communication between microservices, enabling real-time data processing and event-driven architecture for financial transactions.Leveraged Spring Data JPA to simplify the implementation of data access layers, reducing boilerplate code.Implemented parameterized tests and test suites using JUnit to automate testing of multiple input scenarios, improving test coverage, and identifying edge cases in the codebase.Implemented sophisticated transaction management strategies using Hibernate and reliable processing of financial transactions, including batch processing and rollback mechanisms for error handling.Created customized financial reporting tools using JPA and Hibernate, facilitating real-time access to financial data, supporting complex queries, and generating insights into customer behavior.Implemented client-side routing using React Router to create single-page applications (SPAs) with multiple views and navigation capabilities, enhancing user experience and application responsiveness.Conducted data migration and transformation tasks using MySQL, ensuring data integrity and accuracy during system upgrades and transitions.Implemented CI/CD pipelines to automate the build, testing, and deployment of Java web applications on Tomcat and Gained strong expertise in Data-Driven Automation Testing using tools like Selenium WebDriver and Postman REST Client.Acquired knowledge in Design patterns like Singleton, Factory, and MVC for building scalable and maintainable systems And Exception Handling and deployment of applications using EAR, WAR, and JAR files.Implemented Docker-based containerization for Spring Boot microservices, facilitating consistency and portability of applications across development, testing, and production environments on (GCP).Orchestrated Docker containers using Google Kubernetes Engine (GKE) for automated deployment, scaling, and management of microservices, ensuring high availability and fault tolerance.Gained good knowledge in using the Java 11 modules system for creating scalable and maintainable applications and proficient in Apache JMeter for performance testing and Log4J for application logging.Environment: Java 7, J2EE, Next JS, Python, Angular, Blaze Graph, Spring 4.3, Spring boot, Azure, Spring AOP, Spring MVC, Scala, IBM, Hibernate 4, Akka, Spring Batch, Cassandra, gRPC, Elastic Search, NOSQL, Adonisjs, Redis Cache, vue.js, Microservices, MongoDB, CI/CD, PCF, AWS, JMS, JSF, CVS, .Net Framework, REST, log4j, JUnit, Jenkins, Kafka, XML, Groovy, Grunt, Ajax, XSD, JavaScript, jQuery, AngularJS, NodeJS, Docker, Linux, Tomcat, Spring Tool Suite.Title: Sr.Full Stack Developer Siemens Healthineers, Atlanta, GA. Jul 2019 Oct 2020Responsibilities:Worked with Agile methodology (SCRUM), practicing Test-driven development (TDD), and Pair Programming for efficient and collaborative software development.Created deployment packages and used AWS SAM or the Serverless Framework to manage Lambda deployments and Spring Boot's testing frameworks (Spring Test, JUnit) to write unit and integration tests.Optimized API gateway configurations and microservices interactions to enhance performance and reduce latency, resulting in improved response times for critical financial transactions.Implemented RESTful APIs with Spring MVC for seamless integration between microservices, facilitating efficient communication and data exchange within the retail ecosystem.Leveraged Spring Cloud Netflix for service discovery, load balancing, and circuit breaking, ensuring fault tolerance and resilience in distributed systems.Created parameterized and drill-down reports in Crystal Reports, allowing users to interact with and filter data dynamically for deeper insights.Developed complex sub-reports and formula fields in Crystal Reports to enhance report functionality and accuracy.Enabled ALB access logs and integrated with Amazon CloudWatch and AWS CloudTrail for monitoring, auditing, and troubleshooting traffic patterns and issues.Implemented health checks for ELB to monitor the health of registered EC2 instances and automatically route traffic to healthy instances.Optimized ELB settings, such as connection draining and sticky sessions, to enhance application performance and user experience.Implemented dynamic client-side functionality using JavaScript frameworks and libraries such as jQuery.Implemented Kafka Connect to integrate disparate banking systems and databases, enabling unified data streams for customer relationship management, risk assessment, and operational efficiency.Configured Spring Boot applications with externalized configuration using Spring Cloud Config, allowing dynamic updates without service restarts.Implemented data partitioning and sharding strategies in DynamoDB to distribute data evenly across partitions and ensure high availability and fault tolerance.Integrated DynamoDB with AWS Lambda and API Gateway to build serverless applications, enabling real-time data processing and event-driven architectures.Configured and managed Elasticsearch security settings, including roles, users, and permissions, to protect data and ensure compliance with security policies.Implemented robust API security with JWT (JSON Web Tokens) and Spring Security, ensuring secure communication and access control.Utilized AWS API Gateway for API management, including throttling, logging, and monitoring, to handle large-scale traffic efficiently and Employed Spring Boot DevTools for rapid application development, enabling hot reloading and reducing development time.Conducted code reviews and pair programming sessions to promote TDD and BDD best practices among team members, fostering a culture of collaboration and continuous improvement.Implemented client-side routing with Angular Router to enable navigation between different views and pages within the web application, providing a seamless user experience.Implemented data ingestion pipelines using Logstash and Beats to ingest, transform, and load data into Elasticsearch from multiple sources.Monitored and maintained Elasticsearch clusters, ensuring high availability, performance, and fault tolerance.Integrated Angular applications with AWS Lambda and API Gateway for serverless backend services, implementing RESTful APIs and handling server-side logic with Node.js or Python.Utilized lambda expressions and functional interfaces to simplify asynchronous programming tasks, enhancing concurrency and responsiveness in multi-threaded applications.Configured DynamoDB Streams to capture and process data changes in real-time, enabling seamless integration with other AWS services such as Lambda and Kinesis.Optimized DynamoDB performance by adjusting read/write capacity units, using auto-scaling policies, and implementing efficient data access |
