Data Engineer with passion for problem-solving and learning. Experience with Python, SQL, and Amazon Web Services.
Able to design, develop and maintain data, ETL, ELT pipelines to streamline movement of data through its …
Data Engineer with passion for problem-solving and learning. Experience with Python, SQL, and Amazon Web Services.
Able to design, develop and maintain data, ETL, ELT pipelines to streamline movement of data through its lifecycle.
Engineered numerous data pipelines for various clients using a wide range of technologies, Improved efficiency and latency of data extraction pipelines
Designed database systems that efficiently manages diverse data types, including GIS data, improving data accessibility for analytical projects.
Authored SQL queries to manipulate and transform data.
Engineered over 15 ETL data pipelines for various clients using a wide range of technologies and orchestration tools such as Mage and Airflow.
Enhanced efficiency and reduced latency of data scraping pipelines by diagnosing issues and bottlenecks, implementing targeted solutions, and conducting ongoing performance monitoring, resulting in improved data processing speed by 35%.
Deployed data infrastructure on the cloud (AWS) for relational and non-relational database.
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