The present master's thesis is based on a comprehensive study made at RWE Renewables, in the department of Technical Performance Analysis. Primarily, the study concerns an optimized operational efficiency for wind turbines by steady monitoring and sophisticated data analysis. Technical performance analysis is conducted for the optimal performance of the wind turbine. Concretely, a routine analysis is done, using different modules and tools, with daily power curve assessments and monthly temperature checks , among others. These practices are very necessary in keeping the efficiency of the turbines at its best to avoid damage and to maximize energy capture. This involves developing a "Side by Side" comparative analysis tool using Databricks and Python.