A data engineer currently working in the financial industry using AWS, SQL, Python, Git, and Airflow as his data tech stack. As a former civil engineer, he is experienced in applying critical thinking and recognizing patterns in data. He is a team player and well composed under pressure.
Experience: 2 - 5 years
Experienced in translating business requirements into optimized SQL queries to transform raw data into trusted, actionable datasets. These datasets drive dashboards and support machine learning initiatives, generating significant value and insights for the bank.
Experience: 2 - 5 years
Certified Associate Python Programmer https://verify.openedg.org/?id=wiHa.VAjR.opay
Experience: 2 - 5 years
Experienced in building robust data pipelines: extracting data from diverse sources (both databases and cloud platforms), transforming it using PySpark and loading the refined datasets with Airflow and AWS services
Experience: 2 - 5 years
Leveraging AWS Glue for serverless ETL and data cataloging, Amazon S3 for data lake storage, Athena for serverless SQL queries, and Lake Formation for secure data governance.
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