
Results-driven Data Engineer with over 4 years of experience in designing, building, and optimizing production-grade ETL/ELT pipelines on Google Cloud Platform. Successfully processed over 10 million records daily from more than 20 data sources, achieving a 60% reduction in pipeline execution time and saving over $900 monthly in cloud expenses. Expertise in data modeling, real-time ingestion (CDC), and developing automated BI dashboards that significantly reduce manual reporting efforts. Strong collaborator with cross-functional teams, consistently delivering robust data infrastructure that empowers scalable business decision-making.
Languages: Python, SQL
Data Engineering: ETL/ELT Pipelines, Data Modeling, Data Warehousing, CDC (Change Data Capture), Pipeline Optimization, Batch & Near Real-Time Ingestion
Cloud (GCP): BigQuery, Cloud Functions, Cloud Data Fusion, Cloud Composer, Pub/Sub, Dataflow, Cloud Storage
Databases: PostgreSQL, MySQL, MongoDB, GraphQL