Edvardas Baravykas

Edvardas Baravykas

Full-stack developer

Hi 👋 I’m Edvardas, a full-stack developer building high-performance web applications with Ruby on Rails. From database design to front-end implementation, I craft reliable, maintainable systems that solve real problems. I’ve worked with companies like Danske Bank, EY, and SEB, but what drives me is writing clean, efficient code and collaborating with teams who care about quality. When I’m not coding, I’m probably training Brazilian Jiu-Jitsu.

Experience

Software Engineer

Self-employed / Personal Projects

Develop and maintain full-stack web applications using Ruby on Rails, delivering new features end-to-end from database design to front-end implementation.

Jul 2022 - Present

Data Engineer

Danske Bank

  • Designed and maintained ETL pipelines for large-scale data processing, improving data accuracy and availability for internal stakeholders.
  • Built and optimized SQL queries and data models to support advanced analytics and reporting needs across multiple business units.
  • Collaborated with business analysts and product owners to translate requirements into robust data solutions.

Feb 2021 - Jul 2022

Data Analyst

Danske Bank

  • Developed dashboards and visualizations to deliver actionable insights to senior management and business teams.
  • Conducted in-depth data analyses to identify trends, risks, and opportunities, supporting strategic decision-making.

Feb 2018 - Feb 2022

IT Advisory Analyst - Consultant

EY

Assisted in delivering IT risk assessments and technology advisory projects for clients across multiple industries.

Sep 2017 - Feb 2018

Assistant to SMEs Relationship Manager

SEB Bank

Provided administrative and analytical support to relationship managers working with small and medium-sized enterprises.

Aug 2015 - Sep 2016

Education

University of Leicester

Master of Science (MSc), Data analysis for business intelligence

2016 - 2018

Kaunas University of Technology

Bachelor of Science (BSc), Applied Mathematics

2012 - 2016

Projects

Vendor Risk Simulator

Developed an application to model and simulate vendor risk using a Monte Carlo engine, delivering interactive visualizations of risk distribution and probability outcomes.