ABHISHEK KUMAR

Design and maintain cloud-based data solutions and end-to-end ETL/ELT pipelines across 3+ enterprise engagements, transforming raw data into business-ready datasets for analytics and reporting. Architect and orchestrate data pipelines using Azure Data Factory, PySpark, and notebooks with Medallion Architecture (Bronze, Silver, Gold), cutting data processing time by 30%. Rebuilt customer retention metrics (GRR/NRR) and reconciled revenue from raw billing data, resolving a 10+ point reporting gap flagged in client review. Perform data ingestion, cleansing, validation, and data modeling on structured and unstructured data, building reusable frameworks that improve data quality and reduce manual effort by 40%.

Built Azure Data Factory (ADF) and Synapse pipelines plus Python/SQL ETL frameworks for multi-source ingestion and data validation, improving processing efficiency by 35% and cutting manual errors by 50%. Engineered PySpark notebooks, pipelines, and dataflows with Delta Lake in Microsoft Fabric Lakehouse, accelerating data migration and transformation by 30% while improving business data freshness. Streamlined reporting workflows and automated refreshes that cut report turnaround time for business teams by 15%, enabling faster data-driven decisions. Replaced legacy SPLA-based Excel processing with reusable Common Notebook Functions in Databricks/Fabric, eliminating dependency on external Excel ingestion and reducing manual maintenance effort by 70%. Supported production pipelines and CI/CD deployments, delivering key Microsoft projects with strong accuracy, service uptime, and client satisfaction.