Joel Valencia

Led backend API development using Django and Flask, designing RESTful services to power financial operations, reporting systems, and admin dashboards. Designed and optimized ETL pipelines using Python to ingest and transform multi-source datasets into Snowflake, utilizing Streams, Tasks, and Snowpipe for automation and incremental updates. Built and scaled React frontend components with modern hooks, modular architecture, and lazy loading to enhance performance. Implemented secure authentication with OAuth2/JWT and Django permissions. Deployed microservices and frontend apps on AWS (EC2, S3, Lambda), integrating SQS/SNS for messaging and background processing. Configured GPU-enabled GCP instances for internal AI tools with TensorFlow/PyTorch. Refactored legacy code to improve readability, test coverage, and reduce technical debt by ~40%. Championed automated testing pipelines with PyTest, Selenium, Jest, and GitHub Actions.

Led backend API development using Django and Flask, designing RESTful services to power financial operations, reporting systems, and admin dashboards. Designed and optimized ETL pipelines ingesting multi-source data into Snowflake using Streams, Tasks, and Snowpipe for automation and incremental updates. Built and scaled React frontend components with hooks and modular architecture to improve performance and maintainability. Implemented secure authentication and user management with OAuth2 and JWT; leveraged Django permissions. Deployed microservices and frontend on AWS EC2, S3, and Lambda, with SQS/SNS for messaging and background processing. Configured GPU-enabled GCP instances with Docker to support internal AI tools, including TensorFlow and PyTorch inference. Refactored legacy code, improving readability and test coverage; championed automated testing pipelines with PyTest, Selenium, Jest, and GitHub Actions. Collaborated with QA, design, and product teams in bi-weekly sprints to

Architected and implemented scalable backend services with Django REST Framework, powering internal tools and external APIs with tight performance SLAs. Developed and managed ETL processes across Snowflake, PostgreSQL, and MongoDB, supporting complex data transformations for reporting and insights. Built event-driven systems using Apache Kafka and RabbitMQ for reliable async task processing. Designed and deployed React analytics dashboards with live data feeds, real-time notifications, and multi-user collaboration. Spearheaded deployment on GCP App Engine, Cloud SQL, Cloud Functions, and Pub/Sub; configured GPU-backed VMs for ML training and hosting inference APIs. Wrote robust unit, integration, and end-to-end tests; mentored junior engineers and introduced modular architecture and versioning strategies.