• Integrated RESTful APIs in Django backend to facilitate smooth communication between front-end and back-end components, ensuring data consistency and reliability.• Configured monitoring and logging using Amazon CloudWatch and AWS CloudTrail, enabling real-time monitoring, alerting, and auditing of AWS resources and services.• Designed and implemented dynamic user interfaces with React.js, utilizing reusable components and component lifecycle methods to enhance code maintainability and scalability.

• Created reusable Angular components and implemented state management best practices.• Developed Single Page applications using AngularJS using components, directives using JavaScript, Typescript and NodeJS.• Created algorithms to check the accuracy of files and developed web-based applications using Python and Flask.

• Designed and implemented complex ETL pipelines using Dataflow, enabling efficient data processing, transformation, and real-time analytics.• Leveraged Python's multiprocessing and multithreading capabilities to optimize data processing performance and scalability, reducing processing time by 30%.• Designed and implemented scalable data pipelines using tools like Apache Spark and Apache Airflow, ensuring efficient processing and orchestration of large volumes of data.

• Designed and implemented reusable Angular components, enhancing code maintainability and development efficiency.• Created a Python/Flask based web application and used Python scripts for PostgreSQL database for backend data processing.• Supported the implementation of data archiving and retention policies using tools like Azure Blob Storage, ensuring efficient storage management and compliance with data retention regulations.