Data Engineer
"From raw data to reliable insights - engineered for scale."
Professional with 7.10 years and 4 years of hands-on experience as a Data Engineer in building scalable data processing and cloud-based analytics solutions. Experienced in developing end-to-end ETL/ELT pipelines, PySpark-based big data processing, and cloud data lake architectures using Amazon Web Services services such as S3, Glue,and Lambda. Skilled in PySpark, SQL, Airflow, and Databricks for data transformation, orchestration, and analytics. Strong experience in handling large-scale healthcare data processing, optimizing data workflows, and delivering highquality analytics-ready datasets for reporting and business intelligence solutions.
SQL
Python
PySpark
AWS S3
AWS Glue
AWS Lambda
ETL Development
MongoDB