I am a data professional specializing in data engineering and data operations (DataOps). I work on leveraging data to drive actionable insights, optimizing data workflows, building robust data pipelines, and ensuring efficient and reliable data operations.
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ETL Development: Proficient in designing and implementing Extract, Transform, Load (ETL) processes to efficiently integrate data from various sources into data repositories.
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Data Modeling: Experienced in developing logical and physical data models that align with business requirements, facilitating effective data analysis and reporting.
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Programming: Proficient in languages such as Python to automate data workflows and perform data manipulation tasks.
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Data Pipeline Orchestration: Experienced in orchestrating end-to-end data pipelines using tools like Apache Airflow or similar workflow management platforms.
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DevOps Collaboration: Experienced in collaborating with DevOps teams to implement best practices for data infrastructure and ensuring efficient deployment and operations.
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Cloud Platforms: deploying and managing data solutions on the Cloud, including services like Google Cloud Storage, Amazon S3, EC2, Glue, Redshift, Big Query, Athena, and EMR for data processing and analytics.
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Visualization: Python, Tableau, Power BI, Looker.
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Scripting: Python, Bash, YAML
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I am interested in data engineering, DataOps, and collaborative opportunities in the exciting world of data.
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📫 You can reach me @ aminatlawal21@gmail.com