-Python ETL Pipelines: Reduced reliance on expensive and outdated low-code tools by implementing efficient Python pipelines, significantly lowering costs and enhancing performance.-Microservices Architecture: Led the transition to a modern microservices architecture, employing containerization technologies like Docker to improve scalability and maintainability of services.-AI-Driven Content Generation: Utilized generative AI with company data to automatically generate content for hundreds of thousands of product-specific web pages, markedly increasing direct website traffic.-Cloud and Hybrid Solutions: Expertise in using AWS tools like Lambda, S3, and SQS for robust cloud deployments, integrating with custom on-premise applications to create effective hybrid environments.-Advanced Python Frameworks: Developed web applications and services using Flask and FastAPI, focusing on speed and ease of use in web service development.-Database and Caching Technologies: Managed complex data structures with PostgreSQL and MongoDB, enhancing data accessibility and performance with caching mechanisms through Redis.-Task Management with Celery: Implemented Celery for asynchronous task management and queuing, complemented by AWS SQS for reliable message handling, improving response times, and system efficiency.-Automation of Manual Processes: Automated lengthy manual tasks, drastically cutting operational costs and increasing efficiency while significantly reducing process errors.

Responsible for building and maintaining key dashboards and fostering a data-driven culture throughout the company. Highlights include:- Developed and managed core data governance dashboards to enhance company-wide insights into data quality and consistency, promoting better decision-making and operational efficiency.- Designed and automated data pipelines using Python, integrating a variety of data sources such as Oracle, Microsoft databases, REST APIs, and flat files, enhancing data processing speed, accuracy, and efficiency.- Ensured top-tier data warehouse integrity by identifying and rectifying any discrepancies, guaranteeing consistent and trustworthy data for stakeholders.- Worked closely with non-technical executives, employing data analytics to address intricate challenges and stimulate business expansion.

-Conducted market research using Python to automate data transformations, generating new marketing leads and increasing revenue.-Improved organizational workflow by implementing advanced technology tools for more efficient data manipulation.-Performed data cleaning and validation to enhance data accuracy and reliability, supported by automation scripts.-Built data visualizations to provide real-time insights for marketing efforts, using Python for in-depth data analysis.-Managed and streamlined new and existing data processes in the organization’s CRM system, enhancing overall data accessibility and efficiency.

Led and participated in various projects within the University Information Systems team. Gained experience in data entry, data manipulation, data visualization, reporting, and documentation. Utilized SQL queries to pull data to support senior analysts. Assisted with the creation and maintenance of accounts in the student information system and CRM software.