Data engineer with over three years of practical experience in the data domain, specifically within the manufacturing engineering sector. Proficient in contemporary technologies such as Python/PySpark, MySQL, Oracle, and Microsoft PowerBI, leading to the implementation of high-performance data solutions.
Expert in developing robust data pipelines, ensuring the efficiency of ETL operations, and maintaining the availability of high-quality data. Skilled in Python for data analysis and processing pipelines, with a background in agile methodologies and version control systems like Git.
Recent professional endeavors include the automation and optimization of processes that resulted in saving more than 800 hours of manual work and averting costs amounting to $200,000, utilizing tools such as Python, MySQL, and Microsoft PowerBI. Achieved a 95% target in delivery adherence for production processes and streamlined process analysis from 10 hours to 30 minutes by transitioning from manual Excel processes to sophisticated DBA processes involving Python, MySQL, and SAP.
Currently leading a software development team, employing agile methodologies and using technologies such as Python, Typescript, React, Node.js, and MySQL. Demonstrated expertise in aligning data solutions with client demands, generating significant value.
Passionate about coding, with the goal of enhancing society's quality of life through technological innovations that positively impact individuals and organizations.
