Vasu Pastagia

I’m a Data Engineer with 3+ years of experience building ETL pipelines and data models, with a strong focus on scalability, automation, and data quality. I’ve delivered end-to-end data solutions on Azure and Microsoft Fabric, from ingestion to reliable downstream analytics.

At MAQ Software, I architected and scaled 10+ production-grade ETL pipelines using Azure Data Factory and Databricks, processing 1M+ records/day while reducing latency by 30%. I designed optimized workflows and transformations that improved data accessibility by 40%, helping teams move faster with trustworthy datasets.

I led migration of existing data pipelines to Microsoft Fabric to improve scalability, reliability, and cross-platform integration. I also built robust ingestion pipelines moving data from Azure Blob Storage to Snowflake, with strong validation to ensure high data consistency and quality.

I automate reporting and data delivery workflows, reducing manual effort by 90% and increasing operational efficiency. I’ve implemented CI/CD pipelines with Azure DevOps and Git for repeatable deployments, and I even integrated GPT APIs in Databricks to generate automated, data-driven insights for business use cases.