Summary
Denis Vreshtazi is a Data Engineer with a decade of experience building scalable ETL/ELT pipelines and cloud-native data platforms, currently delivering analytics-ready solutions at Technology Reply using GCP, Azure, Snowflake, DBT and Airflow. He blends a strong software engineering background from his work on transportation scheduling and optimization at M.A.I.O.R. with research expertise in continual learning and AutoML from TU/e, enabling practical ML-informed data architectures. Comfortable across Python, SQL and orchestration tools, he focuses on automation, monitoring and cost-efficient design for CRM, sales and media analytics use cases. Based in Italy, Denis pairs hands-on implementation skills with academic rigor—he is pursuing advanced ML studies at Harvard—bringing a research-minded approach to solving production data challenges.
10 years of coding experience
3 years of employment as a software developer
Machine Learning and AI with Python, Machine Learning and AI with Python at Harvard University
Laurea Magistrale LM, Ingegneria informatica, Laurea Magistrale LM, Ingegneria informatica at Università degli Studi di Firenze
Ingeñeria Informatica, Ingegneria informatica, Ingeñeria Informatica, Ingegneria informatica at Universidad de Las Palmas de Gran Canaria
Italian, albanese, English, Spanish