Overview
Work History
Education
Skills
Summary
Timeline

Alvaro Rios

Woodland,USA

Overview

13
13
years of professional experience

Work History

Staff Software Engineer

Salesforce
03.2018 - Current
  • Impacted on key features integrations within Salesforce Health Cloud, integrating automative data pipelines for the large scale datasets from various Healthcare data providers and intuitive and insightful micro-frontend based dashboard for real-time data visualization.
  • Engineered modular care coordination micro-services including discharge-triggered workflows, cross-team task orchestration using Ruby, Rails and Python, cutting manual intervention by 30%.
  • Built a customer oriented patient onboarding platform using Rails, Slim and
  • Led development of a performant, accessible React.js micro frontend for patient insights and care coordination, overcoming challenges in real-time data visualization and cross-library integration using D3.js.
  • Architected secure, scalable, and high-performance solutions using AWS services like EC2, Lambda for serverless workflows, S3 for HIPAA-compliant data storage, RDS for relational patient databases, and SNS for automated care notifications, resulting in improved real-time care coordination and compliance.
  • Engineered high-performance, concurrent micro-services using gRPC and Go to handle large-scale, real-time data processing tasks, significantly improving system throughput by 40% while maintaining low-latency responses in distributed environments.
  • Integrated Generative AI services using OpenAI and Salesforce Einstein GPT to enable auto-summarization of patient histories, draft care plan suggestions, and support secure, context-aware chatbot interactions accelerating clinical workflows and improving patient engagement.
  • Designed a centralized observability pipeline using DataDog and the ELK stack to monitor patient workflow services, trace care coordination events, and surface actionable insights enhancing system reliability, and data-driven improvements in Health Cloud extensions.
  • Implemented end-to-end integration testing frameworks using Playwright, React Testing Library, JUnit and Pytest to validate patient workflows, data visualizations, and care coordination triggers ensuring consistent cross-service behavior and reducing critical bugs by 45% in production.
  • Utilized Docker for containerization, Kubernetes for orchestrating and scaling services, and optimized database queries with indexing and partitioning strategies to enhance data retrieval speeds and reduce latency.
  • Collaborated with cross-functional teams including clinicians, product owners, and data scientists to implement end-to-end care coordination features, improving patient outreach effectiveness by 25%.

Founding - Senior Software Engineer

Snowflake
08.2012 - 02.2018
  • Led the migration of frontend applications to React.js, enhancing the scalability and maintainability of interactive data dashboards, and improving real-time data visualization performance by 40% through efficient rendering and optimized state management.
  • Developed and integrated custom REST APIs using Ruby on Rails and AWS API Gateway for automating data ingestion workflows, enabling seamless interaction with a cloud data warehouse, and implementing real-time monitoring with CloudWatch and error handling using AWS Lambda, improving data pipeline efficiency by 35%.
  • Architected and optimized Snowflake's cloud-native data platform using AWS services such as EC2, S3, and RDS, enabling scalable data storage, secure processing, and real-time querying of large datasets, supporting millions of daily queries from global clients.
  • Engineered high-performance ETL pipelines using Python and SQL, automating data ingestion from multiple sources and transforming complex datasets into query-optimized formats, improving data processing efficiency by 40% and reducing pipeline latency.
  • Developed automated billing and cost optimization pipelines using Python and AWS Lambda, integrating Snowflake’s usage data with cloud provider APIs to track compute, storage, and data transfer costs, enabling real-time cost reporting and reducing unnecessary cloud expenses by 20%.
  • Implemented dynamic, real-time updates for query results and data visualization using WebSockets and Redux, optimizing both front-end interaction and backend performance.

Education

Bachelor - Computer Science

University of California, Berkeley
01.2012

Skills

  • Programming Languages: Ruby, Javascript, Typescript, Python, Go, HTML, CSS
  • Front-end: React, Redux, Nextjs, Context API, Material UI, Tailwind CSS, D3js
  • Back-end: Ruby on Rails, FastAPI, Nodejs, Nestjs, Redis, gRPC, OAuth, Prisma
  • Database: MongoDB, MySQL, PostgreSQL, DynamoDB, Neo4j, Casandra
  • Cloud/DevOps: AWS, Lambda, Terraform, Jenkins, GitHub Actions, Docker, Kubernetes
  • Testing Tools: Unit Testing (Jest, Enzyme), E2E Testing (Cypress, Playwright)
  • Other: Kafka, Rabbit MQ, WebRTC, Swagger, Formik, Webpack, Figma, Sketch, Adobe, A/B Testing, Stripe, React Query, GraphQL, DataDog, PagerDuty, Google Analytics, GitHub, GitLab, Bitbucket, Jira

Summary

Detail-oriented, organized, and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.

Timeline

Staff Software Engineer - Salesforce
03.2018 - Current
Founding - Senior Software Engineer - Snowflake
08.2012 - 02.2018
University of California, Berkeley - Bachelor, Computer Science

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Alvaro Rios