Description

Hi! Need a Tableau dashboard that is fast, intuitive and delivers real business insights? You're in the right place.

I'm an Analytics Engineer with professional experience helping businesses transform complex data into clear, actionable insights.

While I have experience across the entire analytics stack., my current focus on Upwork is Tableau development and data visualization. I enjoy building dashboards that are not only visually appealing, but also fast, intuitive and designed to support better business decisions.

Over the last few years, I've worked with companies in industries such as aviation, retail, automotive and insurance technology, developing data solutions for both technical and business teams.

My expertise includes:

• Tableau Dashboard Development & Optimization

• Tableau Calculated Fields, LOD Expressions & Parameters

• Interactive KPI and executive dashboards

• SQL (PostgreSQL, Amazon Redshift)

• Data modeling and ETL pipelines

• Python automation and data processing

• AWS (DynamoDB, Lambda, CloudWatch, S3)

• GitLab CI/CD and analytics workflows

As an Analytics Engineer, I don't just build dashboards—I make sure the underlying data is reliable, well-modeled and scalable. This allows me to deliver Tableau solutions that are accurate, high-performing and easy to maintain.

Whether you need a brand-new Tableau dashboard, improvements to an existing one, SQL queries, data preparation or help turning raw data into meaningful business insights, I'd be happy to help.

I'm committed to clear communication, clean solutions and delivering high-quality work on time.

Let's discuss your project and build a dashboard that helps your business make better decisions.

Languages

Spanish
Native or bilingual
English
Fluent
German
Conversational

Workplace preferences

Remote only

Primarily works remotely

Bdeo Technologies
Analytics Engineer
BANKING AND INSURANCE
March 2026 - Today (5 months)
Madrid, Spain
- Supported business teams by developing Tableau dashboards and identifying actionable insights, such as customer product adoption, contract usage and key business KPIs.
- Designed and maintained data models and automated ETL pipelines using GitLab, PostgreSQL and AWS.
- Managed the analytics database, optimizing performance through materialized views and efficient querying of large JSON datasets.
- Built Python automations and monitoring tools, including Slack reporting for bot performance and operational metrics.
- Worked with AWS services including DynamoDB, CloudWatch and Step Functions, while expanding infrastructure knowledge with Terraform and Docker.
Vueling Airlines
Data Analyst
May 2025 - March 2026 (10 months)
- Designed interactive Tableau and Power BI dashboards to analyze airline operations, including network performance, sales, ancillary revenue and team performance.
- Developed SQL and Python data pipelines to prepare and transform data for PostgreSQL and Amazon Redshift.
- Delivered automated reporting and business insights to support data-driven decision making across multiple departments.
- Improved data quality and reporting efficiency by integrating and modeling data from multiple sources.
The channel store & Tivify
Data science
November 2024 - May 2025 (6 months)
Barcelona, Spain
- Cleaned, transformed and prepared data using Python to improve data quality and support analytics projects.
- Assisted in developing customer segmentation models and predictive analytics to identify content and TV programs with the highest expected viewing time for different customer segments.
- Built ETL pipelines with Python to move data from Amazon S3 to Tinybird for real-time analytics.
- Developed Power BI dashboards to monitor user behavior, engagement metrics and content performance.