Data Engineer with 4 years of experience working on cloud-based data platforms, primarily within the Azure ecosystem. Skilled in building and maintaining data pipelines using Azure Data Factory and Azure Databricks, with hands-on experience in PySpark and SQL for data transformation and processing. Good understanding of data warehousing concepts, including layered architecture (Raw, Silver, Gold), and experience working with Snowflake for data storage and querying. Familiar with implementing data validation checks to ensure data quality across different stages of the pipeline. Experience in supporting reporting needs through Power BI and working closely with business teams to understand requirements. Comfortable working in Agile environments and contributing to end-to-end data workflows from ingestion to reporting.
- •Python
- •SQL
- •Pyspark
- •PowerBi
- •Microsoft Excel
- •ETL/ELT Pipelines
- •Data Modeling
- •Data Warehousing Concepts
- •Risk Analysis
- •Stakeholder Communication
- •Agile & Iterative Delivery
- •Analytical Problem Solving
- •Azure Databricks
- •Azure Data factory
- •Azure Data Lake
- •Snowflake
- •Matillion
- •Git
- •Bitbucket
- •JIRA
- •Agile Methodologies