Data engineering
End-to-end data flows — collection, cleaning, transformation, and structured delivery for analytics and downstream products, including reports built on top of that data.
Tirane, Albania · Data systems · Backend
Data Engineer & Backend Developer
Reliable data systems and backend services — built for production.
I work at the intersection of data engineering and backend development: shaping how information is collected, transformed, stored, and served. Day to day that means Python and SQL pipelines, API and service design on Node.js, and AWS-backed infrastructure for auth, events, storage, and analytics. Much of my production work sits under client confidentiality — so this site focuses on the tools I build with and the practices I follow.
End-to-end data flows — collection, cleaning, transformation, and structured delivery for analytics and downstream products, including reports built on top of that data.
APIs and services with clear contracts, solid data access layers, and production-minded reliability.
AWS architecture for storage, identity, event-driven workflows, and reporting surfaces wired into real products.
Feb 2025 — Present
Tegeria
Aug 2024 — Nov 2024
Tegeria
Dec 2022 — Feb 2023
iTEAM
Jul 2022 — Oct 2022
OZZO Albania
Oct 2021 — Jul 2024
University of Tirana, Faculty of Natural Sciences
A Computer Science curriculum covering software engineering, algorithms and data structures, database systems, operating systems, computer networks, and system architecture. Additional focused coursework in object-oriented programming (classes, encapsulation, inheritance, polymorphism).
Interfaces that feel intentional
Product surfaces built with modern React stacks — clear structure, responsive polish, and UI that stays maintainable as features grow.
Services and pipelines that hold
APIs, data models, and processing flows across Python, Node.js, and SQL — from ingestion and transformation to reliable service delivery.
Infrastructure wired for production
AWS-backed building blocks for storage, identity, events, and analytics — assembled into systems that run beyond the laptop.
Intelligence in the workflow
Models used deliberately for exploration, scaffolding, review, and faster iteration — never as a substitute for judgment or ownership.
Open to data engineering, backend, and software roles. Reach out by email or connect on LinkedIn.