• Created AWS environments with Terraform, CloudFormation• Managed Git Repos, Jenkins integration, and access control• Implemented AWS Code Pipeline, Cloud Formation, Code Deploy• Utilized AWS Lambda for event-driven workflows, managed databases, and hosted microservices with Docker• Integrated Maven, Git, ANT, and Jenkins for builds• Developed Python REST APIs with Flask, SQL Alchemy, and Fast API• Utilized Apache Kafka for high-scalability messaging• Automated AWS tasks with CLI, Python scripts• Employed Python libraries: Matplotlib, Pandas, NumPy.• Innovated DevOps solutions: Pipeline as Code, Dockerization• Stayed current on developments in related Python frameworks• Collaborated closely with team to create story points and sprint planning• Designed web-based assets for deployment on cloud computing platforms• Managed MongoDB for real-time data. Configured Kubernetes for container management• Performed Linux system monitoring and user/group management• Designed, implemented, and troubleshooted Spark, SQL Server apps• Maintained complex PL/SQL in multi-environment Oracle DB, wrote SQL queries for data validation.

• Developed Python modules for MySQL data extraction/loading, and established a dedicated SQL Server database for web apps and reporting• Created user-friendly web interfaces with Python, Django views, and templates• Collaborated globally, building Scala modules• Constructed Flask-based Python servers for REST web services, handling front-end Angular Ajax requests• Enhanced user experience with Angular Single Page Applications.• Utilized MongoDB aggregation for time series data analysis• Managed source code with GitHub, automated Docker containers in Jenkins, and deployed in Mesos• Built Python-based REST APIs with Flask and SQL Alchemy for data center resource management• Implemented Kafka for operational monitoring and real-time user activity tracking• Ensured code quality with PyUnit for bug detection and program improvement prior to deployment

• Spearheaded and engineered innovative retail projects to enhance global scalability and resource management.• Collaborated in module planning and analysis, crafting user-friendly interfaces with HTML5, CSS, Angular, and Bootstrap for customized product listings.• Employed Python libraries like NumPy and Pandas to visualize historical data, updating databases with Python scripts, and integrating RESTful APIs for communication.• Proficient with Linux-based Python frameworks like Flask, Django, NumPy, and Pandas. Utilized Django for online transaction history storage. • Managed Kafka Streams for real-time stream processing applications, including filtering, aggregation, and merging• Resolved Python bugs in customer care applications, improving data accuracy• Orchestrated Docker containers to optimize developer workflow, scalability, and performance• Leveraged GCP Compute Engines for scalable VM management and Cloud Tasks for job queue execution• Enhanced global application scalability with Cloud Interconnect for low-latency connections, Cloud Load Balancing for traffic distribution, and Cloud Storage for data storage• Implemented Cloud IAM for fine-grained access control and resource management• Established CI/CD pipelines and utilized Selenium for thorough software testing before release

• Actively contributed to the initial SDLC, bridging production and development teams, advising on system configurations, and running unit test case• Created a scalable web and mobile app for data management, employing HTML, CSS, and Angular.js for frontend development. Extracted HTML data, transformed it into JSON, and integrated it with Django• Enhanced reporting speed by 27% through Python scripts, enabling data transfer, storage, and Restful API integration for the analytics team. Simplified UI development with ReactJS• Established secure API connections and gateways.• Integrated external APIs for stock trading, funds transfer, and introduced unique features like Mock Trading Championship and market index performance tracking.• Managed access control with IAM for fine-grained permissions• Tracked user stories and monitored bug reports using JIRA. Developed unit test cases with PyUnit for testing during the test cycle