Universidad Cenfotec

Master's Degree in Databases and Analytics

In Progress

Balancing work, a Master's Degree and personal life has been a challenge, some days I win, some days I just try again tomorrow.

Unversidad Fidélitas

Bachelor's Degree in Systems Computer Enginnering/Computer Science.

Associate Data Enginner at Arkose Labs

In this role as a Data Engineer I collaborate with CS teams to optimize the CS data platform. I translate requirements into data models, build ETL pipelines, manage API integrations and develop automated reporting solutions that deliver insights to stakeholders and support churn-prevention initiatives.

• Maintained and owned the Customer Success Data Warehouse, which served as the primary data source for customer-facing reports (QBRs and custom dashboards demonstrating product value).

• Implemented, developed and monitored batch ETL pipelines that processed data from multiple sources, applied business logic to clean it and loaded it into the Data Warehouse ensuring reliable information.

• Managed and extended API integrations with Salesforce, Gainsight, Harvest and Zendesk, constantly adding new objects as reporting requirements evolved and also built connectors for third-party tools APIs like Pylon.

• Participated from requirements gathering and data modeling through implementation on key CS looker dashboards, including: Metrics/SLAs dashboard, Renewals dashboard, Hours tracking and billing dashboard and a Threat-intelligence dashboard (which became the data foundation for a fully marketing campaign)

• Led data efforts on 2 customer churn-prevention projects:

- Account HealthScore: Analyzed metrics from onboarding progress, product adoption, product performance and retention to calculate a health score and identify any possible churn risk.
- Customer Quadrant Classification: Built the data logic for a quadrant-based model using the health scores to segment customers, optimizing account management, resource allocation and streamlining the customer journey.

• Developed Python scripts that queried the Data Warehouse with business logic and sent personalized alerts to specific Slack channels, keeping CS on top of high-risk accounts and also providing weekly/monthly summaries.

• Participated in hiring and onboarding a new Data Engineer: designed the onboarding plan, mentored daily and ensured full ramp-up within two months.

Data Enginner Intern at Arkose Labs

• I learned a lot in a fast-paced and iterative environment, where adaptability and problem-solving were key. Experiencing the startup environment gave me huge responsibilities and exposed me to real business needs, pushing me to grow quickly. This was the best learning experience I could have-asked for challenging, rewarding and truly impactful.