William Foster Email & Phone Number

United States

Developed a microservices architecture using RabbitMQ as a message broker to manage communication between different components, achieving a throughput of over 100,000 messages per second.Spearheaded the development and seamless integration of e-commerce platforms with ERP and payment systems, leveraging extensive knowledge of third-party APIs to enhance operational efficiency.Employed Python and Django for robust XML data exchange and business logic execution, successfully developing… Show more Developed a microservices architecture using RabbitMQ as a message broker to manage communication between different components, achieving a throughput of over 100,000 messages per second.Spearheaded the development and seamless integration of e-commerce platforms with ERP and payment systems, leveraging extensive knowledge of third-party APIs to enhance operational efficiency.Employed Python and Django for robust XML data exchange and business logic execution, successfully developing and implementing an interactive web solution's database models, views, and APIs.Administered the management of content and product listings on the e-commerce site utilizing HTML, CSS, and jQuery, ensuring a dynamic and user-friendly shopping experience.Developed entire frontend and backend modules using Python on Django Web Framework, establishing a robust platform for user-friendly website interfaces.Utilized advanced Python packages like NumPy and Scipy for sophisticated numerical and scientific calculations, enhancing the application's analytical capabilities.Successfully migrated databases from MySQL to PostgreSQL, improving data storage efficiency and query performance.Created and maintained comprehensive test harnesses utilizing Python, ensuring thorough testing and quality assurance across all development stages.Established logging, error-notification, and health-monitoring systems using AWS CloudWatch Log, Lambda, and AWS SES, enhancing system reliability and performance monitoring. Show less

United States

Designed and implemented a Kafka-based data pipeline for real-time stream processing, handling over 10 million daily events, which improved data processing efficiency by 50%.Managed data storage and access for a large-scale data analytics project using an S3 bucket, developing and maintaining data pipelines using AWS services such as Lambda and Athena.Led the migration of an existing project from Ruby on Rails to Django, reducing build errors by 20%.Orchestrated Python/Django… Show more Designed and implemented a Kafka-based data pipeline for real-time stream processing, handling over 10 million daily events, which improved data processing efficiency by 50%.Managed data storage and access for a large-scale data analytics project using an S3 bucket, developing and maintaining data pipelines using AWS services such as Lambda and Athena.Led the migration of an existing project from Ruby on Rails to Django, reducing build errors by 20%.Orchestrated Python/Django Framework APIs for seamless inter-service validation and feature implementation, streamlining service interactions and reducing latency by 30%.Engineered real-time data processing functionalities using Python with WebSocket and Node.js, enabling instant data updates and improving user experience.Implemented RESTful APIs using Django REST Framework to facilitate seamless data exchange between the server and client-side applications, enhancing system interoperability.Pioneered Python APIs, DataFrames, and SDKs, facilitating client-developer interaction with backend services and improving client satisfaction ratings.Coordinated with IT and database teams to ensure secure and compliant data management within models, strictly adhering to GDPR and other industry standards.Developed and deployed 5+ scalable web applications using Django and Flask, integrating React to create responsive and interactive user interfaces. Show less

United States

Leveraged Python's BeautifulSoup and Requests libraries to build a web scraper that collects and aggregates real-time competitor pricing data, providing the sales team with a 360-degree market view.Intensively involved in backend development using Python and Flask, focusing on robust server-side logic for user authentication and data interactions.Boosted Rivery platform premium subscriptions through the design and implementation of premium data encryption features with Python, AWS S3… Show more Leveraged Python's BeautifulSoup and Requests libraries to build a web scraper that collects and aggregates real-time competitor pricing data, providing the sales team with a 360-degree market view.Intensively involved in backend development using Python and Flask, focusing on robust server-side logic for user authentication and data interactions.Boosted Rivery platform premium subscriptions through the design and implementation of premium data encryption features with Python, AWS S3, and KMS.Seamlessly deployed Github integration with build jobs and Jenkins using CI/CD, streamlining the deployment process and reducing build times.Created functions and assigned roles in AWS Lambda to run Python scripts, utilizing AWS Lambda with Java for event-driven processing.Implemented a robust ETL (Extract, Transform, Load) pipeline with Apache Airflow, Pandas, and MongoDB, streamlining data ingestion and transformation for the business intelligence team.Developed the tools using Python Django and used MongoDB for databases, facilitating efficient data management and application functionality.Executed cloud design and implementation with AWS, utilizing both Serverless and regular setups, and employed CloudWatch for effective system monitoring.Enhanced the performance and scalability of a high-traffic web application by implementing caching strategies, load balancing, and content delivery network (CDN) integration, resulting in a 50% reduction in page load times. Show less