Involved in development of our entire application with python on backend side and used React.js on front-end side along with Django.Responsible for designing and engineering on-premise to off-premise CI/CD docker pipelines with AWS Cloud services - ECS, Glue, Lambda, ELK, Spark, firehose, kinesis stream.Involved in designing and deploying multiple applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM).Developing data processing… Show more Involved in development of our entire application with python on backend side and used React.js on front-end side along with Django.Responsible for designing and engineering on-premise to off-premise CI/CD docker pipelines with AWS Cloud services - ECS, Glue, Lambda, ELK, Spark, firehose, kinesis stream.Involved in designing and deploying multiple applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM).Developing data processing tasks using PySpark such as reading data from external sources, merge data, perform data enrichment.Built highly scalable web applications & providing optimized solutions for web applications. Involved in developing a Progressive Web application using Python/React.js, Use Kafka as publish-subscribe messaging system, developed end to end data processing pipelines begin with receiving data.Successfully migrated critical functionality from Perl to Python, ensuring smooth transitions while maintaining feature parity and improving system performance.Developed multiple web applications using Python along with Django to perform scan software unit monitoring and increased efficiency of application system.Developed the notification service by posting the JSON request in AWS API Gateway, Validating the response in Lambda by getting the data from Dynamo DB. Utilized React for its efficient data flow architecture to create a lightweight and render efficient web app that searched projects via the GitHub API through keywords. Developed REST API using Django for fetching data from DynamoDB. Managed large datasets using Panda data frames and PostgreSQL, involved in design/maintenance of databases using Python/Flask.Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application (CI/ CD) pipelines to deploying either on public or private cloud. Show less

Implemented data pipelines to ingest, process, and store large-scale financial datasets using Apache Spark, Kafka, and AWS services.Managed cloud infrastructure on AWS, including setting up S3 for data storage, Redshift for data warehousing, and EMR for big data processing.Designed data models for relational and NoSQL databases, such as Cassandra and MongoDB, to support Wells Fargo’s data-driven applications.Maintained real-time data processing systems using Apache Kafka and Spark… Show more Implemented data pipelines to ingest, process, and store large-scale financial datasets using Apache Spark, Kafka, and AWS services.Managed cloud infrastructure on AWS, including setting up S3 for data storage, Redshift for data warehousing, and EMR for big data processing.Designed data models for relational and NoSQL databases, such as Cassandra and MongoDB, to support Wells Fargo’s data-driven applications.Maintained real-time data processing systems using Apache Kafka and Spark Streaming to enable real-time analytics and decision-making.Automated data deployment processes using Jenkins, Docker, and Terraform, integrating with CI/CD pipelines to enhance efficiency and reduce manual intervention.Supported the deployment of machine learning models by setting up scalable data environments and integrating with AWS SageMaker for training and inference.Implemented Chef for configuration management to ensure consistency and standardization across various components of the Supply Chain Visibility Platform.Implemented Kubernetes for the management of Docker containers, ensuring seamless deployment, and load balancing of microservices within the Platform.Provisioned AWS host components of the Supply Chain Visibility, AWS RDS to manage and maintain databases and S3 for object storage.Deployed Docker containers using AWS EKS, AWS Lambda functions for serverless computing, enabling the execution of small, event-driven functions and AWS CloudWatch for monitoring and logging.Integrated Git into the CI/CD process, ensuring that changes made by development teams are regularly and automatically merged into a shared repository.Utilized Git for pull requests and code reviews, enabling collaborative code evaluation, feedback, and ensuring code quality standards are maintain.Integrated Python scripts into the IAC workflow, enhancing the automation of infrastructure provisioning, configuration, and management using tools like Terraform. Show less

Proficient in using Python for backend development to create user friendly server-side logic, implemented flask to streamline backend development tasks and enhance productivity.Employed Python for web scraping tasks to extract and parse data from websites, enabling dynamic content aggregation.Leveraged Python for crafting comprehensive unit tests, ensuring the reliability of codebase. Additionally, employed Python's debugging tools to swiftly identify and resolve any issues during the… Show more Proficient in using Python for backend development to create user friendly server-side logic, implemented flask to streamline backend development tasks and enhance productivity.Employed Python for web scraping tasks to extract and parse data from websites, enabling dynamic content aggregation.Leveraged Python for crafting comprehensive unit tests, ensuring the reliability of codebase. Additionally, employed Python's debugging tools to swiftly identify and resolve any issues during the development process.Integrated Python with frontend framework Angular to create full-stack repayment web applicationsDevelop RESTful APIs using Python to enable seamless communication between the frontend and backend components of web applications.Designed responsive and visually appealing web page for swift payment gateway using HTML, CSS, and JavaScript.Utilize frontend framework Angular, to build scalable and maintainable web applications and created dynamic and interactive user experiences.Identified and resolved issues through meticulous troubleshooting and debugging, was engaged in software testing. Leveraged Python's database integration capabilities to interact with relational databases PostgreSQL for efficient management of customer data and MongoDB to handle user data.Integrated Python with collaborative tools and version control systems Git to facilitate teamwork and maintain code versioning and for tasks related to containerization and deployment Show less