Data Engineer with hands-on experience in designing, building, and maintaining scalable data pipelines and cloud data infrastructures. Skilled in using Airbyte, Docker, Kubernetes, BigQuery, dbt, and SQL to automate data ingestion, transformation, and modeling. Proficient in ETL/ELT workflows, data quality assurance, and performance optimization. Adept at collaborating in Agile sprint environments to deliver reliable, cost-efficient, and analytics-ready data solutions that support business decision-making.
Experience: 1 - 2 years
Experience: 6 months - 1 year
Experience: Less than 6 months
Experience: 6 months - 1 year
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