• 🖥️ See My portfolio
• ✉️ Contact me via Email
• 🤝 I am open to Data and Analytics Engineering roles, also open to collaborate on projects
• 📖 Hobbies: Sports, Gym, Video Games
• 😊 Charisma: Team Work, Empathy, Good Sense of Humour

I am a Data and Analytics Engineer, helping organisations make sense of their data by transforming scattered, disorganised data into reliable systems for reporting and decision-making.

With experience across the data lifecycle, from ingestion and transformation to deployment and monitoring, I deliver solutions that are efficient, reliable and future-ready.

I work with Python, SQL, Shell Scripts, and use cloud platforms such as AWS, Azure and Google Cloud Platform (GCP). I am experienced in using tools such as Apache Airflow, DBT, Kafka, Docker, Snowflake and Terraform. I focus on data quality, automation, performance, and clean data architecture.

In one of my projects, I built an automated data pipeline that integrated data from multiple sources, reducing manual reporting time by over 40%, helping analysts and business stakeholders access trusted insights much faster.

Alongside my technical work, I also teach/guide aspiring data professionals, which has strengthened my ability to communicate complex ideas clearly and collaborate effectively across both technical and business teams.

I am open to opportunities to work on more technical, industry-focused data projects and to help improve how organisations use data for decision-making.