Personal details
Abdulhakeem Y.
Summary
In combining a rigorous academic experience with professional roles in the public and private sector, I have exemplified my keen ability to solve problems, collaborate on teams, optimized processes, and utilize expertise in data science and analysis . I have a verifiable history of professional success.
Technical skills
Work Experience
- Designed and managed robust data pipelines and ETL processes utilizing technologies such as AWS, DBT, Kafka, and Prefect. These systems ensured the efficient collection, processing, and transformation of large volumes of structured and unstructured data.
- Architected and implemented data warehouses, data marts, and data lakes using Snowflake and dimensional modeling techniques. This strategy ensured smooth data storage and retrieval. - Maintained rigorous data governance measures, such as data quality checks and metadata management, using AWS, DBT, and Prefect. This approach helped uphold data integrity and alignment with best practices.
- Improved the performance and scalability of analytics infrastructure using AWS, Databricks, and data visualization tools like Looker, thereby providing comprehensive and efficient reporting.
- Worked in close collaboration with data scientists and business analysts, employing Databricks, DBT, GCP and Prefect to transform complex data insights into easy-to-understand dashboards, reports, and visualizations. This facilitated data-driven decision-making for stakeholders.
- Proactively explored opportunities for process, tool, and methodology improvements, keeping up-to-date with emerging trends and technologies in the analytics sector, such as Kafka, Prefect, AWS, DBT, Snowflake, and Databricks.