- Design, develop, and maintain scalable ETL/data pipelines on AWS.
- Work with AWS services such as S3, Glue, Lambda, Redshift, EMR, and CloudWatch.
- Develop data processing solutions using Python, PySpark, and SQL.
- Build and optimize data lakes and data warehouses.
- Ensure data quality, security, and performance across data platforms.
- Collaborate with business, analytics, and data science teams to deliver data solutions.
- Monitor, troubleshoot, and optimize data workflows and jobs
📌 Aws Data Engineer (Pune)
🏢 LTM
📍 Pune