# Justin I. > Staff Software Engineer | E-commerce Platform Engineering | Multi-Brand Data Infrastructure & Distributed Systems Location: New York, New York, United States Profile: https://flows.cv/justini I'm a Staff Software Engineer specializing in platform infrastructure and data engineering for e-commerce at scale. Recent work: - Built Lyra Collective's first Customer Data Platform processing 1B+ events and 10M+ customers across 20 brands, enabling unified analytics and cross-brand lifecycle marketing - Architected Astra financial analytics platform unifying data from Amazon, Shopify, Walmart, and Target, delivering the company's first portfolio-wide performance view for executive decision-making - Eliminated $500K+ annually in third-party costs by replacing vendor tooling with resilient AWS microservices architecture, while improving data accuracy and saving 40+ hours/month of manual reporting - Led development of LyraSync integration platform (delivered in 6 months), replacing a $100K/year subscription and reducing operational costs by 99.8% - Built Brandable, a high-performance SaaS analytics platform serving 100+ e-commerce businesses with sub-second query response times and 95% client retention I specialize in platform engineering, cost optimization, and scalable data infrastructure, operating at the intersection of technical architecture, operational efficiency, and measurable business impact. Core stack: AWS (Lambda, Step Functions, SQS), Snowflake, TypeScript/Node.js, GraphQL, Terraform, ETL pipelines, microservices, real-time data processing. Open to connecting with engineers working on platform infrastructure, distributed systems, or data engineering at scale. ## Work Experience ### Staff Software Engineer @ Lyra Collective Jan 2023 – Present | New York, United States • Strategic Platform Development & Cost Savings: Conceived and architected the company's "Insights Engine" from the ground up, a new AWS-native data platform (Astra) built with SST, Lambda, and SQS. This strategic initiative, including the planned replacement of Celigo, is projected to deliver over $100,000 in annual cost savings. • Business Automation & Operational Efficiency: Engineered a suite of complex, scalable Snowflake data models that serve as the single source of truth for business reporting. Eliminated 15+ hours of manual work per week for business operations and finance teams by delivering automated, push-button analytics. • People Leadership & Team Growth: Led and mentored a high-performing engineering team, successfully coaching a direct report into a platform leadership role while directly managing and course-correcting complex performance challenges to ensure team alignment and productivity. • Proactive Technical Ownership & Code Stewardship: Drove a proactive, un-prompted refactoring of a critical analytics backend in the company's core SaaS platform (Brandable). Transformed a monolithic SQL-based system into a maintainable, multi-layered TypeScript architecture, improving reliability and developer velocity. • Engineering Best Practices & CI/CD: Established and enforced engineering best practices across the team, including building automated CI/CD pipelines that reduced deployment incidents by 90% and implementing a secure, scalable cloud infrastructure using Terraform and AWS best practices. ### Senior Software Engineer @ Lyra Collective Jan 2022 – Jan 2023 | New York, United States ### Full Stack Software Engineer III @ Lyra Collective Jan 2021 – Jan 2022 | New York, United States ### Staff Software Engineer @ Brandable Jan 2023 – Present | New York, United States Infrastructure as Code: Ensuring the reliability and scalability of our technology stack to accommodate the growing needs of our user base. Expertise in cloud technologies, particularly AWS, for robust back-end operations. Data Engineering: Building and managing the data pipeline that drives the sales metrics and analytics we provide to our clients. Strong background in data cleaning, transformation, and management to ensure accuracy and relevance. Machine Learning: Utilizing various ML models for generating valuable forecasts to aid our clients in making data-driven decisions. Proficiency in machine learning concepts and their implementation for business insights. Leadership: Overseeing the work of a dedicated team of software engineers. Proven ability to lead, mentor, and inspire teams to meet business objectives. Performance Optimization: Continually enhancing the performance of our scalable application to ensure a seamless user experience. Expertise in identifying and rectifying performance bottlenecks. Strategic Planning: Collaborating with other teams and stakeholders to plan and execute strategic initiatives aimed at product development and improvement. ### Sr. Software Engineer @ Brandable Jan 2022 – Jan 2023 | New York, United States Skills: AWS · DevOps · Typescript · Python · Infrastructure · Fullstack Dev · Leadership · E-Commerce · Data Engineering · Serverless · Microservices · Software Development · Agile · REST APIs ### Software Engineer @ Cedrus Digital Jan 2018 – Jan 2021 | Greater New York City Area Enterprise Software Architecture & Development • Led cross-functional teams in architecting and deploying cloud-native solutions, reducing client workflow time by 80% while maintaining 99.9% system reliability • Developed real-time monitoring dashboards for RPA systems processing 100K+ daily transactions, achieving 99% accuracy in performance tracking • Implemented scalable microservices architecture using Node.js/Express, handling 1M+ daily requests with sub-second response times • Mentored 5+ team members in modern tech stack (Angular, Node.js, TypeScript), reducing onboarding time by 40% and enabling 3 successful promotions • Established REST API infrastructure supporting multiple enterprise clients, incorporating best practices in security and performance optimization AI-Powered COVID-19 Response System • Architected and deployed an IBM Watson-powered solution handling 10,000+ daily interactions • Integrated multiple Watson services (Assistant/Discovery/Speech-to-Text) achieving 95% inquiry classification accuracy • Built scalable backend infrastructure using Node.js/Express processing 1M+ daily requests with 99.9% uptime • Implemented advanced SSML optimization for natural language processing, improving user engagement by 40% • Reduced call center workload by 65% and wait times by 75% through intelligent automation Enterprise RPA Solutions & Optimization • Architected and deployed 25+ RPA solutions for Fortune Global 50 company, generating $2M+ annual cost savings • Developed reusable automation frameworks reducing processing time from 15 minutes to 30 seconds per transaction • Created hybrid JavaScript/RPA solution achieving 76% performance improvement in legacy systems • Implemented fault-tolerant protocols reducing error rates by 85% and increasing processing capacity by 300% ### Teaching Assistant @ University of Delaware Jan 2016 – Jan 2018 | Newark, DE Teaching Assistant - Computer Science • Led programming instruction for 200+ students in Java and Python fundamentals, achieving 90% course completion rate and positive student feedback • Conducted weekly hands-on peer programming sessions and office hours, mentoring 50+ students per semester in software development best practices • Provided code review and debugging support for 1,000+ student assignments, improving student success rates through systematic problem-solving approaches • Developed supplementary learning materials and coding exercises that reduced common misconceptions and accelerated learning outcomes • Fostered an inclusive learning environment while maintaining high academic standards, resulting in improved student engagement and performance ## Education ### Bachelor of Science - BS in Computer Science University of Delaware Jan 2016 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/jirazabal --- Source: https://flows.cv/justini JSON Resume: https://flows.cv/justini/resume.json Last updated: 2026-03-22