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Data engineer in Indonesia building and maintaining AWS-based data pipelines: writing ETL jobs in AWS Glue, managing the Amazon Redshift warehouse, and orchestrating workflows with Step Functions using SQL and Python.
A data engineer who designs and optimizes data pipelines on AWS — implementing ETL jobs, crawlers, and Glue Studio workflows into Redshift, with scalable schema design and performance tuning. Core stack: AWS Glue, Redshift, S3, IAM, CloudWatch, Python, and SQL, on a Jakarta-based setup.
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