Anuj Kumar

• Automated and optimized data pipelines using Azure Data Factory and Databricks, reducing processing time by 25%.
• Designed and implemented the Medallion Architecture (Bronze, Silver, Gold layers), enhancing data transformation and reliability.
• Developed end-to-end API integrations for external survey systems, streamlining data ingestion, and eliminating vendor dependency.
• Built scalable ETL pipelines using PySpark and Delta Lake, improving data availability and reporting efficiency.

Key Projects:

• Survey Data Integration (API): Automated data acquisition directly from APIs, eliminating vendor dependencies. Designed workflows for ingestion, validation, and storage in Delta Lake.
• Global Corporate One COMM Solution: Achieved a 30% improvement in data processing efficiency using Databricks workflows.
• CFTI Retailer Inventory Analytics: Integrated POS, warehouse, and shipment data for predictive modeling.
• P&G Vehicle Fill Rate optimization: Built optimization algorithms to reduce transportation costs by 20%.

• Developed and deployed ETL pipelines on Azure and AWS to convert raw data into actionable insights.
• Automated data ingestion, transformation, and cleansing processes for global clients.
• Enabled Power BI reporting by integrating Azure pipelines with business datasets.

Key Projects:

• Abbott: Built Azure pipelines to clean and deliver data for Power BI dashboards.
• Tetra Pak: Designed AWS-based pipelines for analytics and reporting.

• Contributed to the Global Liquidity Engine project: bug fixing, unit testing, environment setup, and deployments.
• Resolved production issues and automated testing interfaces, saving over 5 hours of testing time.