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Analytics Engineering Data Engineering
I am a postgraduate student in Data Science and Artificial Intelligence with 2 years of experience working with data. My expertise focuses on data ingestion, transformation, and modeling, specifically structuring automated pipelines with an emphasis on quality, performance, and reproducibility.
Currently, I work as a Strategy and Performance Analyst at FIEC, acting as a data and process developer. In this role, I am responsible for structuring the visualization of OKRs and KPIs for the entire organization. To sustain these corporate metrics, I build Data Marts, integrate systems with the Data Lake, and develop robust ETL/ELT pipelines using SQL and Python. I also automate workflows with Airflow to reduce manual tasks, and build management dashboards in Power BI utilizing DAX measures.
Previously, as a Data Intern at Scanntech, I worked in the Customer Business Growth area, conducting advanced sell-out analyses to support pricing, production, and promotion strategies. I structured large-volume data extraction with SQL, implemented ETL routines orchestrated via Airflow, and built Power BI dashboards.
Alongside my corporate roles, I am a Professor at Digital College, where I teach "Data Analytics with AI" and "Advanced Python for AI Engineering." I guide students through practical projects involving the construction of Data Warehouses, pipeline orchestration, Streamlit applications, Machine Learning models, and AI agents. I also lead practical implementations of containerized data ecosystems with Docker, distributed processing in Hadoop, and task automation via Airflow DAGs.
To learn more about my projects visit my Data Portfolio
| 👨🏽🎓 Viral Analitycs / Data & ML | 👨🏽💻 Data Analisys |
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