I’m a Data and Analytics Engineer, with more than 5 years of experience transforming raw data into actionable insights that power business strategies. I specialize in creating efficient data pipelines, optimizing ETL processes, and leveraging cutting-edge cloud technologies (GCP, Azure) to streamline complex workflows.
With a strong foundation in data integration, business intelligence, and machine learning, I thrive in using data to drive strategic decision-making. I'm currently expanding my expertise in Data Engineering, building scalable solutions using dbt, Airflow, and Mage e.t.c to enable organizations to make more data-driven decisions, faster.
I have a proven track record in delivering high-impact projects, from automated reporting dashboards to predictive models that directly influence business outcomes. As I transition into Data Engineering, I'm focused on building robust, cloud-native data pipelines, ensuring reliability and scalability while working in agile teams to deliver data solutions that matter.
- Design and implement end-to-end data pipelines using GCP, Azure, dbt, Airflow, Databricks, Mage and a lot more!
- Build dynamic, real-time Power BI and Tableau dashboards to visualize data and enhance decision-making.
- Develop predictive models and machine learning workflows that have led to measurable business improvements.
- Automate ETL processes, increasing efficiency and reducing time-to-insight for business leaders.
I’m passionate about making data accessible, actionable, and impactful, and always seeking new challenges to further hone my skills in data engineering and analytics engineering.
