Sean Whitty

Background

About Sean Whitty

Full-Stack Engineer & Data Analyst with a proven record of blending technical excellence with Learning & Development expertise in fast-paced corporate environments. With several years of experience in data engineering and analysis, I recently expanded my capabilities by graduating with distinction from Springboard’s Software Engineering program. I specialize in building and maintaining robust, scalable applications using JavaScript, Python, React, Node/Express, PostgreSQL (Sequelize ORM), and Snowflake, alongside RESTful API development. Quality and reliability are ensured through comprehensive testing using Jasmine and Jest. Since early 2024, I've been working as a Fulfillment Analyst at Blacklane GmbH, where I use data analytics and engineering to identify operational trends, improve decision-making, and drive performance within Operations Control. I develop scalable data solutions and intuitive dashboards to support efficiency, service quality, and KPI tracking. Core Skills: Advanced Python (Pandas, NumPy, PySpark, Airflow) · Advanced SQL (joins, optimization, procedures) · Data Engineering (modeling, warehousing) · Visualization (Tableau & stakeholder interaction)· BI & Reporting (KPI tracking, SLA analysis, root cause investigation) Prior to that for 3+ years, I’ve focused on Learning & Development at Blacklane GmbH, where I’ve used my analytical background and Journalism degree to translate data into powerful insights and drive strategic learning initiatives across the company. Fluent in English (native) and German (professional) & Irish. 7+ years of experience with data modeling, trend analysis, and operational planning Passionate about combining technical precision with human-centered learning to drive innovation Known for my ability to turn data into narrative and insight into action Outside of work, I’m an avid audio engineer, visual artist, and music enthusiast, always exploring the creative intersections of technology and art. I’m open to connecting, collaborating, and discussing opportunities in full-stack development, data analytics, or learning strategy. Let’s build something great.