I'm Tomas Lucaccini, an Analytics Engineer specializing in designing and automating ETL pipelines and data models to support product, marketing, and operations reporting. I love turning complex data into reliable dashboards and scalable analytics that help teams move faster. I've built dashboards used by 50+ stakeholders, collaborated with engineering and business teams to improve data quality and incident detection, and led data quality initiatives to ensure accurate insights across FinTech, retail, and SaaS platforms.

Tomas

I'm Tomas Lucaccini, an Analytics Engineer specializing in designing and automating ETL pipelines and data models to support product, marketing, and operations reporting. I love turning complex data into reliable dashboards and scalable analytics that help teams move faster. I've built dashboards used by 50+ stakeholders, collaborated with engineering and business teams to improve data quality and incident detection, and led data quality initiatives to ensure accurate insights across FinTech, retail, and SaaS platforms.

Available to hire

I’m Tomas Lucaccini, an Analytics Engineer specializing in designing and automating ETL pipelines and data models to support product, marketing, and operations reporting. I love turning complex data into reliable dashboards and scalable analytics that help teams move faster.

I’ve built dashboards used by 50+ stakeholders, collaborated with engineering and business teams to improve data quality and incident detection, and led data quality initiatives to ensure accurate insights across FinTech, retail, and SaaS platforms.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

Spanish; Castilian
Fluent
Italian
Fluent
English
Fluent

Work Experience

Analytics Engineer - Data Analytics at Gridwise
September 1, 2024 - June 30, 2025
Designed and automated ETL pipelines and data models supporting product, marketing, and operations reporting. Identified bottlenecks in data delivery workflows and implemented improvements to increase data availability and reliability. Built and maintained dashboards monitoring key business and operational metrics. Collaborated with engineering and business teams to improve data quality, monitoring, and incident detection, supporting reliable and scalable analytics usage.
Data Analyst - Fin Crime at Revolut
April 1, 2023 - September 30, 2024
Led data analytics for anti-fraud/financial crime initiatives; built dashboards and models to detect suspicious activity; partnered with risk and product teams to improve data-driven decisions.
Business Intelligence - Data Analytics at Loyal Guru
December 1, 2021 - February 28, 2023
Led QA for analytics dashboards; validated campaign performance data; automated core validation checks; contributed to faster platform updates and improved data reliability across marketing analytics.
Quality Assurance - Data Analytics at Loyal Guru
December 1, 2021 - February 28, 2023
Automated QA checks for analytics dashboards; verified data accuracy; supported faster delivery of platform updates and improved QA turnaround.
Clearance Analyst – Sales at Privalia
April 1, 2019 - February 28, 2021
Supported sales analytics, pricing and SKU analysis to optimize campaigns and revenue.
Technical Analyst – Data Analytics at Nielsen
July 1, 2016 - May 31, 2018
Built internal dashboards for marketing analytics; defined reporting metrics; collaborated with stakeholders to translate business needs into scalable data models.
Analytics Engineer – Data Analytics at Korn Ferry (Client: Olympic Games)
October 1, 2025 - Present
Based in Barcelona; built analytics dashboards and data models; automated data workflows; collaborated with stakeholder teams to improve operational efficiency for the Olympics client.

Education

Data Science with Python at Universitat de Barcelona
January 11, 2030 - January 1, 2018
Master's Degree in Economics at Universitat de Barcelona
January 11, 2030 - February 3, 2026

Qualifications

Data Science with Python
January 11, 2030 - February 3, 2026
Master's Degree in Economics
January 11, 2030 - February 3, 2026

Industry Experience

Software & Internet, Financial Services, Retail, Professional Services, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

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