Designing and evolving data warehouse and data lake architectures using Data Vault and dimensional modelling. Working on incremental loading strategies and improving scalability of data storage.

Developing and maintaining data pipelines with Apache Airflow, Spark, dbt, and CI/CD workflows. Automating ingestion and transformation processes while improving reliability of pipelines.

Implementing data modelling approaches (Data Vault, ETL/ELT) and data quality checks, including validation and anomaly detection. Continuously improving trust in downstream analytics.

Building and optimizing data marts and BI-ready datasets. Improving query performance and enabling faster reporting for business users.