Ezekiel Sanmabo

• Designed and implemented an end-to-end data architecture integrating APIs, enabling real-time tracking of organizational performance indicators for informed decision-making.
• Built ETL pipelines to consolidate program data from multiple sources into a centralized reporting system, supporting stakeholder reporting requirements.
• Developed automated data validation routines (null checks, schema validation) to ensure data integrity across all reporting cycles.
• Produced structured data models and dashboards that communicated program performance to non-technical leadership teams.

• Delivered scalable data pipelines processing 5M+ monthly records, enabling real-time business intelligence and timely reporting for multiple clients.
• Designed and maintained dashboards and trackers (PowerBI, Metabase, Looker) to monitor KPIs and program outcomes for diverse stakeholders.
• Migrated legacy ETL workflows to Databricks Lakehouse, improving data reliability and reducing reporting lag for time-sensitive insights.
• Implemented comprehensive data quality checks including schema validation, deduplication, and row-count reconciliation, maintaining high data fidelity across reporting cycles.
• Coordinated with clients and field-facing teams to ensure timely submission, cleaning, and integration of operational data into MIS systems.
• Produced documentation and reporting templates to standardize data collection and support program accountability requirements.