At Memorae.ai, I engineer marketing data ingestion pipelines for Meta Ads, Google Ads, TikTok Ads, and other campaign platforms. I built a reusable Databricks framework on Delta Lake and developed campaign performance, ROAS, CAC, funnel conversion, and attribution-ready models for client BI teams.
At Celebal Technologies, I architected a Databricks anomaly detection platform for SAP Finance that processed 1.9 billion records with approximately 98% accuracy. I also engineered real-time Apache Kafka streaming into Delta Lake with sub-minute latency.
I established a Unity Catalog governance framework and delivered BI-ready SQL Warehouse views for cross-functional analytics teams. My work included orchestrating production Azure Data Factory pipelines and improving query latency, data incident rates, and cluster compute costs.
As a freelance Data Engineer, I delivered cloud-native data engineering solutions for clients in retail, marketing, and energy. I built Databricks ingestion frameworks and standardized Medallion Architecture patterns with Delta Live Tables, data quality checks, and Azure DevOps CI/CD.
