Data Engineer
About Candidate
Introduction:
With over 12 years of experience in Data Analysis and Business Intelligence, the candidate has worked across various sectors, including telecommunications, public security, tax management, financial transactions, and retail. Holding a degree in Information Systems and a postgraduate degree in Business Intelligence and Big Data, they specialize in data manipulation, integration, and analytics. Their expertise includes developing data warehouses, implementing KPIs, and managing BI systems to drive business insights. They have contributed to large-scale projects involving ETL structuring, data visualization, and cloud-based automation. Recognized for excellence in data-driven decision-making, they have won multiple awards for their contributions to public security analytics. The candidate has extensive experience in SQL Server, Power BI, and cloud platforms such as Azure and AWS. Their role often involves collaborating with international teams, ensuring data governance, and enhancing analytical platforms. Passionate about innovation, they strive to improve data processes and deliver actionable insights. Their work has significantly impacted business strategies and operational efficiency through advanced analytics and reporting.
Responsibilities:
- Data manipulation and integration using SQL Server, PostgreSQL, Oracle, and ETL tools.
- Development and automation of data consolidation processes in cloud environments.
- Data warehouse modeling, KPI implementation, and analytics core structuring.
- Business Intelligence (BI) system management and optimization.
- Creation of analytical and statistical reports in managerial layouts.
- Implementation of data governance policies and security measures.
- Development of dashboards and data visualizations using Power BI and Tableau.
- Collaboration with global teams to improve self-service analytics and big data solutions.
- Spatial analysis and georeferencing using QGIS and other tools.
- Support for decision science and reliability engineering teams in structuring databases.
- Ensuring compliance with data protection regulations such as GDPR.
- Providing insights and recommendations to enhance business operations.