Results-driven Full-Stack Developer with 4+ years of experience building end-to-end web applications, from responsive React front ends to scalable Node.js, Python, and PHP (Symfony, CakePHP) backend services. Proven expertise across TypeScript, REST APIs, SQL, and major cloud platforms, with a track record of improving processing efficiency by 15% and ensuring 99.5%+ data accuracy for enterprise and U.S.-based projects.
I'm a results-driven Full-Stack Developer with 4+ years of experience designing and building end-to-end web applications — from responsive front ends to scalable backend services and cloud infrastructure. My journey began with a BSc in Data Science and Engineering from Kaunas University of Technology (KTU) in Lithuania, where I built a strong foundation in software architecture, databases, and parallel computing.
Throughout my career, I've worked on enterprise projects from Lithuania to Chicago, IL, building full-stack solutions that pair modern frontend frameworks like React with robust backend services in Node.js, Python, and PHP (Symfony, CakePHP). I combine this with strong data engineering fundamentals — SQL, ETL pipelines, and cloud platforms (AWS, GCP, Azure) — plus DevOps practices using Docker, Kubernetes, and Terraform to ship and operate reliable systems end to end.
My experience spans building customer-facing dashboards and APIs, architecting real-time data services, and modernizing legacy systems into cloud-native applications. I've also led freelance projects, delivering full-stack solutions — from the UI down to the database — that eliminated manual processes and gave clients self-service tools.
Architected a full-stack solution automating financial reporting and inventory management. Built a Python/PostgreSQL backend and reporting API that pulls daily sales from Shopify/PayPal, powering a Power BI dashboard and eliminating 20+ hours of monthly manual Excel work with report-ready data by 9 AM daily.
Led migration of 50+ GB of operational data from legacy SQL Server to modern PostgreSQL with zero downtime, then rebuilt the legacy CakePHP application layer behind a customer analytics dashboard on Symfony — reducing report generation time from 2 minutes to under 15 seconds through query refactoring and API optimization.
Engineered full-stack data infrastructure — from backend pipelines to internal analytics APIs — supporting BI applications for a Chicago-based project. Reduced query costs by 15% through optimization, implemented real-time streaming with Kafka, and delivered the service layer powering dashboards at 99.5%+ data accuracy.
Delivered reliable full-stack data infrastructure for 5+ clients across e-commerce, marketing, and professional services. Built a reusable Python service and lightweight monitoring dashboard for automated data quality checks, maintaining >99% accuracy and proactively surfacing discrepancies.
I'm always interested in discussing data engineering challenges, new opportunities, or potential collaborations. Feel free to reach out!