Namira Bargir

Data Engineer with over 3.5+ years of hands-on experience designing and implementing scalable ETL pipelines for large-scale data processing. Strong expertise in data warehousing, data modeling, and delivering business-critical solutions on Microsoft Azure. Highly proficient in PySpark, SQL, Python, Azure Databricks, and Azure Data Factory. Proven track record of optimizing data pipelines and integrating multiple data sources into scalable data platforms.

Data Engineer at Tata Consultancy Services (2024-02 – Present)

Worked on a large-scale retail platform designing and optimizing end-to-end ETL pipelines using Azure Databricks and Azure Data Factory. Enabled high-performance analytics, reporting, and business intelligence by processing data into Azure Data Lake.

• Built scalable ETL pipelines using PySpark in Azure Databricks
• Implemented Medallion Architecture (Bronze, Silver, Gold) using Delta Lake
• Performed complex transformations (joins, aggregations, window functions)
• Developed pipelines using Azure Data Factory (ADF)
• Improved performance by reducing execution time by 25%
• Implemented data validation and quality checks
• Handled failures, reruns, and backfills

Data Engineer at Tata Consultancy Services (2022-10 – 2024-01)

Developed pipelines to process user behavior data for analytics and KPI tracking. Built scalable layers to support reporting and business insights.

• Developed ETL pipelines using PySpark and Spark SQL
• Designed layered architecture (Raw → Processed → Curated)
• Performed data cleansing, transformation, and enrichment
• Managed data in Azure Data Lake
• Delivered datasets for dashboards and KPI reporting
• Implemented data quality checks
• Monitored and debugged pipelines

B.Tech in Computer Science Engineering – Dr. J. J. Magdum College of Engineering (2018 – 2022)