Data Science Academic Instructor (Data Engineering, ML, Statistics) at SLIIT/CURTIN (2023-08 – Present)
- Conduct undergraduate-level practical sessions in Data Engineering which focuses on building Etls, Data Quality checking & other modules such as statistics, and Machine Learning, focusing on hands-on implementation and solving industry-inspired problems
- Design and guide students through lab-based exercises using tools such as SSMS, SSIS, SQL, Jupyter Notebooks, R Studio and cloud platforms like AWS and Azure, simulating real-world data workflows
- Assess student performance during labs and assignments, offering targeted feedback to strengthen technical skills, analytical thinking, and problem-solving abilities
Data Engineer Intern at Dialog Axiata PLC (2022-04 – 2023-02)
AWS Migration Phase 2 Project: Snowflake, AWS, Airflow, Tableau
- Designed & maintained ETL pipelines ETL pipelines using Airflow DAGS and other AWS services for migration of data to Snowflake from on-premises for analytics
- Collaborated/partnered with the data analytics team with visualizations (Tableau), maintaining the consistency of data and ensuring seamless and accurate transfer of data while adhering to business requirements
- ETL monitoring, auditing, reliability, data quality checking, recovery of failed pipelines, and optimization
- Data masking and hashing for data security policies
- Enforced the principle of least privilege by defining appropriate access roles for Snowflake users and workforce identities
- Delivered comprehensive onboarding/training sessions to new team members, providing them with tools and guidance to succeed in the project
- Worked in an Agile/Scrum environment, using JIRA to track tasks, manage sprints, and collaborate effectively with engineering and analytics teams
