Freelancer profile translated to English.

Description

Data professional specializing in the development of scalable analytical solutions in cloud environments. I work with technologies like PySpark and AWS to process large volumes of data and transform complex information into clear and actionable insights.

I am particularly interested in connecting data engineering with business intelligence: designing efficient data pipelines, defining relevant KPIs, and converting them into clear and interactive visualizations using tools like Amazon QuickSight.

I typically participate in projects such as:

Development of data pipelines and ETL/ELT processes with PySpark

Processing and analysis of large volumes of data in AWS

Definition and calculation of business KPIs from transactional data

Creation of interactive dashboards and reports for metric tracking

Optimization of data analysis and reporting processes

Analysis of international or financial data flows

I am motivated to work on projects where data generates real business impact, helping teams better understand their information and make faster, more informed decisions.

Languages

Spanish
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

ARRK Engineering GmbH (BMW Partner)
Business Intelligence Engineer – ADAS (Advanced)
March 2025 - February 2026 (11 months)
Madrid, Spain
• Bi-weekly automated Excel reporting of error pattern KPIs using Python, including dynamic pivot table generation and interactive visualizations with Plotly and Matplotlib reducing 2 hours per week
• Performed web scraping to collect car data and identify which issues triggered an error or warning message
• Designed and maintained performance dashboards for Short and Medium Radar systems using AWS QuickSight, enabling batch
monitoring of key KPIs such as temperature, number of system resets with specific error codes and timestamps, as well as software/hardware versions and ECU types.
• Built large-scale data pipelines combining AWS Glue (PySpark) and Athena (SQL) to analyze vehicle behavior under varying conditions. Use of PySpark to overcome SQL limitations, resulting in a 35% improvement in insight generation speed.
• Creating Grafana dashboards to monitor vehicle behavior and system performance for Parking team
Amazon EU
Business Intelligence Engineer Intern – Amazon Transportation Services
December 2023 - May 2024 (5 months)
Luxembourg
• • Maintained ATS KPIs dashboard, did weekly business reviews, using AWS Quicksight for data accuracy, and reported variances.
• • Addressed 20+ support and implementation ticket each week, assisting 10+ teams by enhancing and refining pipelines, as well as assessing data quality problems.
amazon
Business Analyst Intern – Global Transportation Services
June 2023 - December 2023 (6 months)
Developed and implemented code to analyze large databases across Europe, focusing on identifying and resolving misattribution problems within packages, which led to a reduction of costs of 20% annually.