Freelancer profile translated to English.

Description

My work begins where Excel spreadsheets with twenty tabs and tasks nobody wants to do manually end.

I design data processes, automations, and information models with Python/PySpark/SQL, and develop Power BI reports to build solutions that someone can maintain in six months, not just solutions that work on delivery day.

I have participated in projects where data comes from multiple systems, there are manual processes that consume hours, and each client has different rules. My job is to turn that chaos into something reliable, automatic, and easy to understand.

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

NTT DATA
Data Engineer
TECH
April 2026 - Today (4 months)
Alicante, Spain
• Modernization, migration, and scalability of data platforms for the Telecom and Banking sectors.

• Development of ETL/ELT pipelines in Lakehouse environments on Microsoft Fabric using PySpark, GitLab Jobs using Python, for distributed processing, data transformation, and preparation of analytical layers.

• Implementation of modular, traceable, and maintainable data processes, incorporating quality controls, error management, and incremental logic.

• Automation and orchestration of executions using GitLab CI/CD, integrating pipelines, notebooks, and scripts within versioned and controlled workflows.

• Definition of layered data architectures: ingestion, transformation, validation, and serving.

• Implementation of data quality controls: validation of schema, nulls, ranges, duplicates, and referential integrity.

• Design of incremental load strategies using timestamps, watermarks, incremental IDs, and partitioning.

• Migration of the data architecture from the Telecom area to a new dedicated database, developing migration scripts in SQL Server and BigQuery.

• Cleaning, normalization, and dimensional modeling of data for scalable analytical structures.

• Design of flows with dependency management, retry policies, logging, alerting, monitoring, and traceability.

• Analysis, documentation, and optimization of critical flows in the Banking sector, reducing operational incidents by 90%.

• Collaboration in defining methodologies, versioning, technical documentation, and data engineering best practices.

• Continuous training and specialization in Microsoft Fabric.
Python SQL ETL Pipelines Microsoft Fabric GitLab
NTT DATA
Business Process Analyst | BI Developer
TECH
March 2025 - May 2026 (1 year and 2 months)
Alicante, Spain
• Operational recovery of a BI platform with high incidence, reactivating over 30 Power BI reports in approximately 3 months.

• End-to-end ownership of analytical solutions: requirements gathering, functional analysis, KPI definition, data modeling, and dashboard development.

• Direct communication with technical and business stakeholders to define metrics, operational needs, and evolutionary roadmap.

• Development and optimization of reports in Power BI, including tabular modeling, DAX measures, visual design, dataflows, and incremental loads.

• Optimization of processes and models in Microsoft Fabric, reducing capacity consumption by 50% to 60% and improving load times.

• Development of ETL/ELT processes with SQL Server, Python, Power Query, and Microsoft Fabric.

• Refactoring of existing processes using incremental load strategies with timestamps, auto-incrementing IDs, and watermark tracking.

• Redesign of critical corporate reports with performance, consistency, and maintenance issues.

• Implementation of Machine Learning forecasting solutions for operational, capacity, and resource projection.

• Post-implementation support, evolutionary maintenance, and continuous improvement of analytical solutions.

• Functional and technical documentation, process standardization, and definition of BI best practices.
Python Microsoft Power BI SQL Power Query Git
Asociación Ambiente Europeo
BI Developer
ENVIRONMENTAL
May 2020 - Today (6 years and 3 months)
Murcia, Spain
• Creation of reports and data visualization with Power BI.

• Python automations for data collection processes from various sources.

• Development of statistical models with Python (Pandas, Numpy, MatPlotLib, and SciKit-Learn) to identify patterns and trends in sample distribution.

• MySQL Database Administrator.
Python Microsoft Power BI MySQL Data Analysis