Results-driven Data Engineer with 3 years of experience in AWS and big data processing. Successfully built an end-to-end ETL pipeline utilizing AWS Glue and PySpark, enhancing data processing efficiency. Strong analytical skills complemented by effective collaboration in cross-functional teams, ensuring secure and scalable data solutions for healthcare analytics.
AWS
Spark Framework
SQL
AWS Glue ETL Management
AWS Lambda
AWS Step Function
AWS S3
AWS Redshift
PySpark
Python
Linux
Bitbucket
Hadoop ecosystem
DynamoDB
Big data processing
ETL development
Databricks Lakehouse Fundamentals