Albert M.

Data Engineer

Jun 2025 - Jun 2026 • 1 yr

RESPONSIBILITIES ○ Design and development of end-to-end data models using SAP Datasphere and SAP BW, aligned with business requirements. ○ Integration of data from SAP S/4HANA as well as external APIs, ensuring data consistency and quality. ○ Implementation of complete ETL processes using both native SAP Datasphere tools and Python, managing data transformation and loading. ○ Semantic modeling and preparation of optimized datasets for consumption in SAP Analytics Cloud (SAC) and Power BI. ○ Development of data projects using tools such as Azure Data Factory and Snowflake. ○ Direct collaboration with functional and technical teams to translate reporting needs into scalable technical solutions. ○ Participation in consulting environments, following best practices for documentation, testing, and version control. ● KEY ACHIEVEMENTS ○ Implemented robust and scalable data models that improved the quality and reliability of business reports. ○ Reduced the complexity of reporting processes through proper standardization of the data model in SAP Datasphere. ○ Developed ETL pipelines in Python connected to external APIs, expanding analytical capabilities beyond SAP systems. ○ Contributed to the successful delivery of reporting solutions for clients, meeting deadlines and quality standards typical of a Big4 environment.

Database Administrator (DBA)

Mar 2024 - Jan 2025 • 10 mos

RESPONSIBILITIES ○ Designed and implemented a server and database monitoring application to optimize the department’s daily operations. ○ Led the implementation of a Python API aimed at collecting data from the company’s servers and databases. ○ Worked extensively with Microsoft SQL Server and DB2 to efficiently manage and analyze large datasets. ○ Collaborated with the Data Management team to improve database performance. ○ Implemented a series of SQL scripts to automate processes executed through SQL Server Jobs. ● KEY ACHIEVEMENTS ○ Thanks to the monitoring application, we reduced the time spent on daily tasks by at least 70%, measuring task execution times with and without the application to validate the improvement. ○ Increased the performance of some of the most frequently used queries by 25%, optimizing database response times. ○ With the implementation of SQL Server Jobs, redirected error messages to SQL tables for monitoring purposes. ○ Upon completing my time at GCO, I received recognition from the entire team for my outstanding performance, which resulted in an offer to sign a professional employment contract and continue collaborating with the organization.