I am a passionate and results-driven Data Engineer with over 7 years of experience across leading companies like Globant, Tripadvisor, and Perficient. My expertise spans the full data lifecycle — from designing ELT processes in Azure environments to building scalable data warehouse architectures in Snowflake and creating impactful KPI calculations using Spark, PySpark, and Python.
I have successfully led data migration projects, transitioning pipelines from Oracle, Hive, and Spark into modern platforms like Snowflake, BigQuery, and Airflow. With a strong foundation in both analytics and engineering, I have developed dashboards, machine learning pipelines, and cloud migration strategies that drive business insights and operational efficiency.
I am passionate about building clean, efficient, and future-ready data solutions, and I always strive to deliver high-quality results that empower decision-making and innovation.
Azure
Python
• Design of ELT using Azure Data Factory, Cosmos, Blob Storage, Synapse SQL Server.
• KPI calculation in Spark, Pyspark and Python.
•.QA in migrated data marts from Oracle to SQL Server
• Review, tests and promotion of team tasks.
• Migration of pipelines in Spark/Hive to Snowflake, Bigquery and Airflow.
• Design of the data warehouse architecture in Snowflake.
• Creation of datamarts in DBT used by machine learning models and Tableau dashboards.
• Creation of ETLs in Azure using Databricks and Datafactory.
• Migration design of on-premise processes to the Azure cloud.
• Creation of Power BI dashboards to analyze risk groups in the market.
• API development to analyze risk factors using machine learning models for banks and retails companies
• Development of tools to process and visualize meteorological data in Python.
• Definition of data governance policy.
• Project feasibility evaluation.
• Development of processes in python to work with geospatial data in Autocad and Qgis.