Results-oriented Associate Data Engineer with over 3 years of experience designing, developing, and optimizing scalable data pipelines and ETL workflows across cloud platforms including AWS, Azure, and GCP. Proven expertise in managing large scale, real-time datasets using tools like AWS Glue, Lambda, Redshift, S3, Athena, and Palantir Foundry. Adept in data modeling, orchestration (Airflow, Terraform), and building analytics-ready data assets to support machine learning, predictive maintenance, and personalization systems. Strong proficiency in Python, SQL, and PySpark, with a solid track record in data governance, CI/CD automation, and cross-functional collaboration to deliver impactful data solutions.