Skills and Expertise
Glue, RDS, Lambda, and DynamoDB. Strong background in building and optimizing ETL/ELT pipelines using AWS Glue, Apache Spark, or Python. Experience in designing and managing data lakes, data warehouses, and databases for efficient storage and querying. Ability to automate data workflows, deployment, and monitoring using AWS CloudFormation, Terraform, or AWS CDK.
Data Solutions and Processing
Proficiency in Python, SQL, or Java for developing custom data solutions and processing large datasets. Familiarity with Hadoop, Spark, or Kafka for processing large datasets.
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