Jose Antonio Guerrero Arzaluz

I am a data and analytics professional with experience in fintech operations, financial reconciliations, business intelligence, process automation, and cloud-based data workflows. My work focuses on transforming complex financial and operational data into reliable insights, scalable reports, automated controls, and decision-support tools for business, operations, finance, and technology teams.

I have hands-on experience working with SQL, Python, Pandas, PostgreSQL, Amazon Redshift, BigQuery, Athena, AWS Glue, Lambda, S3, Databricks, Power BI, Tableau, QuickSight, dbt, Mage AI, APIs, SAP S/4HANA, Git, and workflow orchestration tools. I use these tools to build data validation processes, automate recurring analyses, improve reporting performance, monitor operational KPIs, detect anomalies, and support high-volume financial reconciliation processes.

I also have experience designing data models for auditability and traceability, including graph-based approaches for representing relationships between transactions, accounts, providers, rules, exceptions, and operational outcomes. I am familiar with graph database concepts and Cypher, and I am interested in applying graph structures to improve investigation workflows, reconciliation lineage, fraud analysis, and operational transparency.

My professional interests include data platforms, analytics, financial operations, automation, business intelligence, cloud data systems, data quality, graph databases, and scalable reporting solutions. I enjoy working on problems that require both business understanding and technical execution, especially when data can be used to reduce manual effort, improve reliability, and make complex processes easier to monitor and explain.