• Designed and built an end-to-end automation workflow from scratch: connected to REST APIs to extract data, developed data transformation logic, and ingested structured data into Google BigQuery (GCP). • Created BigQuery views to feed downstream Tableau dashboards, enabling reliable, automated reporting for business stakeholders. • Maintained and enhanced existing n8n automation workflows, implementing targeted fixes to improve data accuracy and reliability. • Automated manual data-entry and reporting tasks, saving approximately 10–14 hours of manual work per week. • Leveraged REST APIs, webhooks, and JSON transformations within a cloud-based Google Workspace ecosystem to synchronize data across SaaS platforms.

• Developed and implemented ETL workflows using SSIS, reducing data processing time by 50–80% and improving overall data pipeline efficiency. • Designed, built, and maintained SQL Server databases, tables, views, and scheduled jobs (SSMS) to support analytics and automated reporting. • Built interactive Power BI reports, datasets, dashboards, and apps, accelerating decision-making across multiple projects. • Resolved data integrity issues and optimized database performance, achieving 50–75% improvement in query execution. • Partnered with cross-functional teams (programmers, management, business units, clients) to define requirements and deliver data-driven insights.

• Led a team of 30 AR professionals. • Implemented standardized KPIs/workflows, improving collection efficiency by 20%. • Conducted audits and quality assessments of the team. • Met and in some months, exceeded the client goals of collection recovery of the team.

• Ranked among the top 3 collectors on the project in collection performance and quality. • Pioneered initiatives that led the team to collect between 5-15% more of the average monthly revenue. • Showed leadership from the beginning of the project obtaining the trust of management.