Daniela Mesa

As a highly motivated and analytical mechatronic engineer and data professional, I have a strong foundation in programming languages such as SQL, Python, and JavaScript, as well as familiarity with ETL tools, data warehousing, and cloud-based technologies. With experience in data extraction, modeling, database design, as well as data analysis transforming complex data into meaningful insights that enhance strategic decision-making.

In terms of experience, I have carried out the design, development and implementation of projects oriented to data management, which have given me practical knowledge in data modeling, ETL processes, storage, data visualization and integration of on-premise systems and in the cloud. Additionally, I have experience working with cloud services on Azure, as well as familiarity with big data technologies such as Hadoop and Spark. I have worked in collaborative environments, where I have been able to develop collaboration and communication skills, leadership and agile methodologies such as Scrum and Kanban.

I have studies in Mechatronics Engineering, a diploma in Machine Learning – Data Science and Big Data, as well as various courses related to data engineering and data analysis. Through the combination of practical experience and academic training I have gained a solid understanding of algorithms, data structures, programming languages ​​like SQL and Python, database administration, ETL tools with SSIS and Apache Airflow, and the use of visualization tools with SSRS, Power BI, IoT (ThingWorx).