• Working closely with other software engineers, architects, operations engineers, and product managers.• Participating in our Agile/SCRUM process. Creating designs to support short, iterative delivery cycles.• Contributing to architectural design decisions.• Participating in operational related discussions.• Designing and supporting high traffic, highly available systems.• Contributing to test plans.• Conducting and participating in group code reviews, ensuring high-quality coding standards across the team.• Designing maintainable, testable code with high test coverage requirements.• Adding integration and acceptance test coverage to new features.• Evaluating and investigating alternatives to existing solutions, proposing new designs and technologies.• Working with modern DevOps concepts such as Docker, Kubernetes, Serverless, Terraform.• Deployment of software to a cloud platform environment, such as AWS, GCP, Azure.• Persisting data with NoSQL, as well as relational data stores. Examples include DynamoDB, PostgreSQL, Mysql, RedshiftDB, Redis etc. • Working with distributed messaging and streaming technologies, such as RabbitMQ, Kinesis, Kafka.• Delivering on multiple competing priorities with little supervision.• Designing microservice-based architectures.• Improvising code base continuously with modern software engineering principles, patterns, and best practices. • Effectively communicating technical concepts to team members, architects, and team leads.• Migrating different components from RabbitMQ to Kafka (Amazon MSK)• Dockerized each component to work on (Amazon EKS) Kubernetes Cluster to support autoscaling and reduce the dependency of the developer on Dev-Ops resources• Implemented health-checks for each component to ensure availability of components on Kubernetes

• Monitored Virtual Reality Lab having 10 Virtual Reality (VR) Workstations• Updated Softwares on Servers of IT Team• Attended and guided Students to effectively use VR Workstations• Coordinated with HP Support for broken HP machines• Installed/Re-imaged Operating Systems (OS) in machines• Prepared documentations/guide on use of VR Steam applications for students• Conducted VR Lab events for students and faculty• Supervised Virtual Teaching classes over ZOOM meetings for possible intrusion and to provide assistance to professors.

• Built web-applications for internal tools using Angular MVC• Evaluated feasible chart and component libraries in Angular feasible to the project's framework• Worked Extensively with Angular CLI for creating components, Services, pipes, Directives.• Integrated third-party services and external REST APIs with our application to get the client’s data feed.

• Taught topics to students • Guided students for effective outcome in Subject• Resolved Queries of students• Evaluated student’s assignments and projects

• Designed, built, and implemented advanced data pipelines that brought together data from a range of sources. Made sure that data was accessible to data scientists, analysts, and other users via a variety of programming languages.• Carried out complex Big Data projects that collect, parse, manage, analyze, and visualize large data sets, providing insights that clients can act on across their customer-facing platforms.• Understood the challenges addressed by an engagement and collaborated with team members and clients to deliver a technical solution that meets the unique needs of clients.• Described technical solutions to appropriate audiences by creating high-quality content.• Managed and mentored small team and work efforts within Accenture.• Designed and led Property Evaluator Application project to represent Accenture's deep expertise on underwriting best practices, giving quick access to the information which Underwriter needed. Property Evaluator represented a map view of the property in its real-world context, including at-a-glance alerts that highlight potential issues, and 100+ data elements, categorized for easy review.• Worked on Python Scripts to load extract data from XMLs and load into AWS Redshift through S3• Built on ETL jobs using Matillion for AWS Redshift• Created Customized Apache NiFi Processors using Java as per the requirement of the project• Built Apache NiFi Data Flow Pipelines• Created Hive Scripts and Apache Phoenix scripts for Business Analysts to view data for specific use cases• Worked on ETL jobs using Apache Spark for Apache HBase• Built Web Applications for Insurance Underwriters using Angular, SpringBoot, and Java• Worked on near Real-Time Data processing using Apache Kafka and Spark Streaming

• Designed and developed software code according to functional, non-functional, and technical design specifications.• Followed software engineering standards, agile methodology, and release processes, to ensure code is maintainable, scalable, and supportable, and demoed the software products to stakeholders.• Investigated issues by reviewing and debugging code, provided fixes and workarounds, and reviewed changes for operability to maintain existing software solutions.• Worked with a team, collaborated, and added value through participation in peer code reviews, providing comments and suggestions, and working with cross-functional teams to achieve goals.• Taken technical accountability for specific products within an application and provided technical support during solution design for new requirements.• Proactively engaged with innovation, continuous improvement, and efficiency in all assigned tasks.• Developed Hadoop jobs to identify customer behavioral patterns, improving revenue for Telecom Operator.• Implemented Hadoop-based batch data pipelines for various data feeds using Spark and MapReduce.• Built Hadoop streaming jobs to process real-time billing and rating XML data.• Created price-plans to define ratings/pricing for subscribers.• Created Automated tools for support team using Java, SQL, and Linux.