Promoted to senior role within 8 months for exceptional ownership and impact on data infrastructure.

• Lead data quality initiatives by leading and managing the Quality Squad. Established proactive monitoring and reactive resolution processes for Tableau dashboards and core data pipelines, improving overall data reliability and trust for stakeholders.
• Architect and maintain mission-critical ETL/ELT pipelines in Google BigQuery, ensuring timely and accurate data flow from 10+ sources for analytics and client reporting.
• Engineer scalable data integration by designing and implementing API connections to internal and third-party systems, expanding the company's data asset portfolio.
• Drive data accessibility by serving as the primary technical owner of the data warehouse, enabling self-service analytics and empowering the analytics team

• Owned the end-to-end data architecture on Google BigQuery, integrating multi-GB datasets from Salesforce and third-party vendors, which became the single source of truth for client analytics.
• Automated manual reporting by designing, building, and maintaining 50+ interactive Tableau dashboards directly into Salesforce, reducing manual reporting and migrating manual reports to integrated reports for 10+ key client accounts.
• Developed and maintained robust ETL pipelines that transformed raw data into clean, modeled datasets, directly enabling data-driven decisions for marketing and account management teams.
• Increased operational efficiency by automating critical data validation and delivery workflows using Zapier.

• Engineered cloud cost savings by developing Python scripts to analyze AWS Redshift usage patterns, identifying underutilized resources and optimization opportunities that led to an average 25% cost reduction for B2B clients.
• Translated technical insights into executive decisions by building interactive Power BI dashboards that tracked KPIs (cost vs. utilization, trending spending), enabling clients to monitor savings and make informed budgeting choices.
• Delivered tailored optimization strategies directly to major Latin American enterprises, translating data analysis into actionable recommendations for their engineering teams.

• Drove a 5% increase in Customer Satisfaction (CSAT) by developing and implementing a Python-based analytical scorecard that systematically analyzed 10,000+ monthly customer interactions to pinpoint key drivers of sentiment.
• Built and deployed predictive churn models using scikit-learn on a dataset of 350,000+ customer records, identifying at-risk customers and directly informing targeted retention strategies for the Customer Experience team.
• Automated performance reporting by designing and maintaining interactive Looker Studio dashboards that tracked core CX metrics (sentiment, agent success, department performance), providing real-time insights to stakeholders and eliminating manual reporting work.

• Increased customer retention by 17% by developing and implementing machine learning models to segment high-value clients, enabling targeted engagement strategies that improved loyalty.
• Built the data foundation for executive reporting by architecting end-to-end ETL pipelines and developing 3+ comprehensive Looker dashboards that transformed raw payment data into actionable insights for C-level decision-making.
• Contributed to 15% growth in client fundraising revenue by formulating and executing data-driven customer experience strategies, leveraging analytics to optimize client engagement for banking and mutual fund sector clients.