Python
Data Engineering Intern specializing in AWS-based data platforms, with hands-on experience designing, deploying, and maintaining production ETL pipelines using Apache Airflow (MWAA) and Redshift.
Analytical and detail-oriented, with a proactive approach to problem-solving and performance optimization.
Collaborative team player who works effectively with cross-functional teams, adapts quickly to new technologies, and is committed to continuous learning and professional growth.
Python Programming
ETL/ELT Pipeline Development
Apache Airflow (AWS MWAA)
AWS (S3, Redshift, MWAA, SageMaker, CloudWatch)
SQL
Data Modeling & Schema Design
Git & Version Control
CI/CD & Agile (Jira, Sprint Planning)
AAWS Certified Cloud Practitioner
DeepLearning.AI Data Engineering
IBM AI Engineering
IBM Data Science
Python
SQL
Amazon Redshift
Amazon SageMaker
Apache Airflow (MWAA)
ETL Pipeline Development
Git
Problem Solving
Cloud Architecture
Automation & Workflow Optimization
Building Side Projects & System Design
Fitness / Strength Training