Results-driven Data Engineer with experience designing , building , and maintaining scalable data pipelines and ETL/ELT processes . Skilled in Python , SQL , GCP , Azure , automation , and data quality for business value
Ensured data quality and governance across operational and analytical data stores. Collaborated with BI and product teams to deliver data-driven credit insights.
Major achievementDesigned and maintained ETL pipelines for credit data ingestion across 55,000+ partner stores. Automated reporting workflows with Python and SQL, reducing manual effort by ~40%.
Developed and maintained data pipelines and ETL processes for analytics. Defined data models and KPIs with product team.
Major achievementBuilt end-to-end data pipelines for mobile-platform analytics. Developed Python scripts for ETL and worked closely with product team to define data models and KPI tracking.
Contributed to dashboards and reporting for clients across multiple industries. Developed data pipelines for advanced analytics.
Major achievementDelivered ETL solutions on GCP (BigQuery, Cloud Storage) and Azure (Data Factory, Databricks). Built Python-based data pipelines for analytics and AI consulting projects.