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Sanketh Reddy
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
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Data engineer focused on large-scale ETL/ELT pipelines across cloud stacks (GCP and AWS), including Spark-based transformations and orchestration with Airflow. Has experience loading up to ~2TB per BigQuery target table and designing atomic loads to multiple downstream systems (Elasticsearch + Kafka), with Kubernetes deployment and Jenkins CI/CD.
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Key Strengths
- Built and owned Spark-based ETL pipelines on GCP (GCS → BigQuery/Hudi)
- Handled large-scale batch loads (up to ~2 TB per BigQuery target table)
- Airflow-orchestrated pipelines with Python and Spark SQL transformations
- Designed atomic multi-sink loads to Elasticsearch and Kafka
- Implemented operational monitoring with failure/success notifications and retries
- Stood up an ETL job from scratch on Kubernetes with Jenkins CI/CD
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