Daniel Peña Reyes

Data Analyst / Analytics Engineer | Remote · LATAM → US teams I help companies turn operational data into reliable systems: automated pipelines, clean CRM integrations, and models that support real decisions — not just dashboards that look nice. What recruiters and hiring managers get with me: • Someone who ships end-to-end — from SQL/ETL and APIs to reporting and monitoring • Strong Python + SQL foundation, with hands-on experience in BigQuery, Azure SQL, Looker, Power Query, Zoho Analytics, and Pipedrive • Comfortable in production environments: Airflow DAGs, Git/Jira in Scrum, and collaborating daily in English with international stakeholders • Bias for measurable impact, not busywork Proof of impact: • Reduced clinical reporting manual work by ~80% with Python automation tools used by non-technical teams • Cut payment reconciliation time by ~60% through automated financial reporting • Saved ~5 hours/week per analyst with an AI-assisted lost-deal audit workflow • Replaced manual Pipedrive exports with API → Looker pipelines (~30 min/day saved, fewer reporting errors) • Supported a 100% successful digital banking data migration with zero data loss and 40% faster prep via a local ETL simulation tool I build for scale and trust: data quality checks, reconciliation, API integrations (JSON/XML, Postman), and clear communication with ops, sales, engineering, and leadership. Open to remote Data Analyst, Analytics Engineer, or Data QA roles with US/international teams. Let’s talk if you need someone who can automate, integrate, and turn data into decisions.