

Accomplished Data Engineer with extensive experience in designing and implementing scalable data solutions. Proven expertise in AWS Glue, PySpark, and ETL pipelines, with a strong focus on data lake architecture and optimisation. Successfully engineered multi-layer Telecom Data Lakes, enhancing query performance by 40% and ensuring >95% data accuracy. Adept at automating data ingestion pipelines, building analytical models for business insights, and integrating datasets for real-time reporting. Skilled in Python, SQL, Airflow orchestration, and Hadoop ecosystem management. Career goal: to leverage advanced data engineering skills to drive innovative solutions in dynamic environments.