Description

Strong experience in AWS Data Engineering services: Redshift, EMR, AWS Glue, S3, IAM, Lambda, CloudWatch.

•  Expertise in designing and developing ETL/ELT pipelines using AWS Glue and PySpark.

•  Hands-on experience with Amazon Redshift for data warehousing, performance tuning, schema design, and query optimization.

•  Proficiency in Amazon EMR for large-scale data processing using Hadoop, Spark, Hive, and HDFS.

•  Strong SQL and Python programming skills for data transformation and analytics.

•  Experience with data lake architectures, data modeling, and handling structured/semi-structured data

Key Skills

Education

Bachelor's degree