Data Engineer with 5 years of experience building and optimizing cloud-based data platforms and ETL pipelines for telecom and banking domains. Strong expertise in Python, PySpark, SQL, and cloud data processing (AWS/Databricks), with proven success in SAS-to-Python migrations, performance optimization, and production pipelines processing millions of records.
Experienced in owning end-to-end data workflows, building Python applications for API-driven ingestion, ETL workflow orchestration, automated monitoring and GenAI proof of concepts. Hands-on experience with time-series forecasting, anomaly detection, and data visualization using Python libraries.