Found Description
Prior experience in Data engineering, ETL, Data Ingestion and data warehousing and analytics with 8+ Years of experience.Design, develop, and support end‑to‑end data pipelines using cloud‑based platforms such as AWS, Redshift ,Databricks, and Snowflake.Build scalable data ingestion, transformation, and validation frameworks using Python, SQL, and Shell scripting.Develop and optimize data pipelines for performance, reliability, and data qualityStrong background in data warehousing, ETL/data pipelines, and cloud‑based data warehouse solutions.Hands‑on experience delivering end‑to‑end data pipeline solutions encompassing architecture design, implementation, testing, deployment, monitoring, and operational support.Build and operate scalable batch and streaming pipelines using the Snowflake and/or Databricks tech stack, Spark, or Informatica ETL (where reused) to deliver analytics-ready datasets on AWS Cloud Platform.
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