Konstantinos Lagou

Innovative, dedicated and technically able Data Engineer equipped with a very sound educational background in data engineering, programming, database management, data warehousing, ETL techniques, data modelling, big data, data modelling DevOps practices, cloud platforms and modeling. Experience in designing, building, and optimizing data pipelines and systems for efficient data processing. Seeking to leverage my expertise in data engineering to contribute to a dynamic organization's success in managing and extracting valuable insights from data. Currently looking to forge a career as a Data Engineer at a dynamic, ambitious, and growing company.

I am a seasoned Data Engineer with over five years of professional experience, specializing in SQL Server optimization, Azure data services, and developing scalable data solutions. My expertise includes writing complex SQL queries, managing ETL/ELT data pipelines using tools like Azure Data Factory and Databricks, and integrating data from various sources. I have a strong background in data visualization, spatial analysis, and Python programming, particularly PySpark. My academic background includes a BSc in Geography with Geoinformatics. Additionally, I excel in stakeholder management and communication, ensuring project goals are met efficiently.

I hold a BSc in Geography with Geoinformatics from the University of Brighton, where I specialized in Geographic Information Systems (GIS), data modeling, advanced data analysis, and remote sensing technologies. My coursework and projects provided a strong foundation in data integration, spatial data analysis, and the use of tools such as SQL and Python for data management, which are directly applicable to data engineering.