Developed and implemented scalable API(s) for an integration testing framework used internally by Amazon developers, supporting approximately 200 million runs per year.

Collaborated with cross-functional teams to develop services in Java and Ruby, ensuring end-to-end testing using JUnits, Mockito, and rspec.

Automated the creation of infrastructure and alarming stacks for approximately 12 services using Ruby and internal frameworks.

Designed and replaced the existing RDS SQL backend with high-performing DynamoDB, serving millions of users across Amazon internally without any customer impact.

Designed and migrated internal test traffic from Amazon's deployment system, reducing operational maintenance of the stack.

Implemented mechanisms to replace the customer onboarding mechanism through IAM roles, enhancing security posture by providing short-lived AWS credentials and automated credential refresh.

Assisted in the launch of new regions, enabling internal dependent teams to launch their services in public AWS regions.

Implemented security measures such as replacing Virtual IP Address from SSL to TCP to support TLS 1.2, supporting patching for Log4j CVE campaigns, securing customer data through SHA-384, message digest, and kms encrypt/decrypt.

Demonstrated expertise in various AWS services, including CloudWatch, SNS, SQS, DynamoDB, CloudFormation Templates, Lambda, and Fargate.

Developed services in Java with end-to-end testing using JUnits and Mockito.

Created Lambda prototypes with integration with Amazon Chime and Slack Channel.

I provide assistance in facilitating human resources operations by performing the following tasks:

Collecting data on reported hacking incidents from diverse sources, including cybersecurity reports, databases, news articles, and industry publications. Ensuring the accuracy, reliability, and currency of the gathered data.

Performing data cleansing and preprocessing to eliminate duplicates, inconsistencies, and errors. Standardizing the data into a unified format suitable for analysis.

Developed Business Intelligence Apps using Netezza, Pyspark, and Apache Drill, providing descriptive and prescriptive insights to enhance decision-making processes.

Designed and implemented a near real-time data streaming architecture using Apache Drill and Oozie, enabling timely and accurate data analysis.

Created custom algorithms in SQL and contributed to the development of a Data Warehouse in Netezza and Hadoop, optimizing data storage and retrieval processes.

Generated custom queries in Elastic Search, facilitating data visualization and enhancing the user experience.

Collaborated with cross-functional teams to ensure seamless integration of developed solutions into existing systems.

Maintained clear and concise documentation, enabling efficient knowledge transfer and ensuring the scalability and maintainability of developed applications.

Actively participated in code reviews and provided valuable feedback to team members, fostering a culture of continuous improvement and learning.

Demonstrated a strong commitment to quality assurance by conducting rigorous testing and debugging, ensuring the reliability and performance of developed applications.

Engaged in full-stack software development, encompassing the entire project lifecycle, from requirement analysis and design to development, testing, and deployment.

Developed and tested Wishlist and Subscription functionalities as part of Mars e-commerce using React UI library, Material UI, and Cypress, resulting in improved user experience and increased customer engagement.

Collaborated with a team of 3 to design and test the Product Details web page using Bootstrap, backend development with NodeJS, unit testing with Junit, and CI/CD pipeline with Jenkins, ensuring the seamless integration of frontend and backend components.

Streamlined data integration, loading processes, and report generation using Sybase TSQL and PERL, enhancing data management and reporting capabilities.

Orchestrated the deployment of microservice applications in Python, incorporating Flask, SQLAlchemy, and Docker, resulting in improved scalability and performance.

Utilized AWS S3 and RDS for hosting files and databases, enhancing accessibility and scalability of the application.

Maintained clear and concise documentation throughout the development process, facilitating ease of understanding and seamless knowledge transfer between team members.

Diligently proofread all code and documentation, ensuring they were free from errors and adhered to best practices in software development.