Aws data engineer

AWS Data Engineer Profile Summary Data Engineer with 2–5 years of experience designing, building, and maintaining cloud-native data platforms on AWS. Background in developing scalable ETL/ELT pipelines, integrating multiple data sources, and supporting enterprise analytics environments. Experienced in delivering reliable, secure, and high-performance data solutions with a focus on automation, scalability, and data quality. Key Capabilities Data Engineering Cloud-native data architectures on AWS, ETL/ELT pipeline development, data modeling, API and database integration, workflow orchestration. AWS Services (Some) Amazon S3, AWS Glue, Lambda, Redshift, Athena, EMR, Kinesis, IAM, Cloud Watch, Event Bridge. Data Platforms & Tools Apache Spark, Airflow, Snowflake (preferred), Databricks (preferred), Git/Git Hub. Programming Python, SQL, REST APIs. Dev Ops CI/CD fundamentals, Docker basics, infrastructure automation exposure, version control with Git. Soft Skills Strong analytical and proble...