About
Azure Data engineer with 5.2 years of experience leveraging the Azure Cloud Platform to design, implement, and manage data pipelines. Proven ability to build robust ETL/ELT processes using Azure Data Factory (V2), ingest and transform data from on-premises sources to cloud data warehouses, and ensure data quality and integrity. Proficient in Azure services including Blob Storage, Data Lake Storage, SQL Database, and Key Vault for secure data management. Seeking to apply analytical skills and cloud expertise to drive data-informed decision-making.
Skills & Expertise (12)
Work Experience
Azure Data Engineer
Nestle
Present - Present
Developed and maintained Azure Data Factory pipelines to automate data ingestion, transformation, and loading processes. Transformed Excel-based source data into XML and CSV formats while ensuring data quality and compatibility. Loaded and optimized processed data in Azure Synapse Analytics for reporting and analytical workloads. Collaborated with Product Owners to translate business requirements into scalable data solutions. Diagnosed and resolved ETL pipeline failures, improving data reliability and operational efficiency. Supported data integration activities across Pre-Production, Production, and Post-Production environment.
Azure Data Engineer
BRANDWIDTH Technologies
Present - Present
Implemented data ingestion processes from multiple sources including SQL databases, APIs, flat files, and cloud storage into Azure Data Lake Storage (ADLS Gen2). Created and managed data workflows, triggers, and monitoring solutions in Azure Data Factory to automate data movement and orchestration. Built and optimized data warehouse solutions using Azure Synapse Analytics and Azure SQL Database for reporting and analytics requirements. Performed data cleansing, transformation, validation, and quality checks to ensure data accuracy and consistency.
Education
M.E (Mechanical) - Lovely Professional University
- · Afghanistan
Certifications
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Skills (12)
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