GCP > Airflow Project
End-to-end data engineering pipeline using Terraform, Apache Airflow, Google Cloud Storage, and BigQuery to automate local file ingestion into GCP.
I am an Analytics Engineer with experience designing scalable data solutions that transform raw data into reliable, analysis-ready datasets for reporting and decision-making. I specialise in SQL, Python, Power BI, and modern cloud technologies, with hands-on experience building automated data pipelines using Google Cloud Platform, BigQuery, Apache Airflow, Terraform, and Git. Passionate about data modelling, automation, and continuous learning, I enjoy building robust data platforms that bridge the gap between data engineering and business intelligence.
End-to-end data engineering pipeline using Terraform, Apache Airflow, Google Cloud Storage, and BigQuery to automate local file ingestion into GCP.
In this project, I used Python to analyse a store's revenue and sales trend.
A Simple Dashboard showing different Street Fighter characters and profiles.
Dashboard different collections of Nike Sneakers.
I used SQL to extract data from the relational bike store database in this project. Afterward, I imported the data into Tableau for analysis and visualisation. Find here the SQL script.
A brief insight into the popular votes and the electoral colleges at the United States Elections
between 2000 and 2024. This focuses on the results among the two popular parties (Democrats & Republicans).