Chirag Bhatia

I’m a Junior Data Engineer with 1+ year of production experience building cloud-native data pipelines in Azure. I’m Databricks Certified, and I focus on scalable data architecture and data quality engineering from ingestion to curated datasets.

At Hexaware Technologies, I developed scalable PySpark ingestion jobs on Azure Databricks to process 1M+ records from raw CSV sources, achieving 99% data accuracy and improving throughput vs legacy batch processes. I designed Delta Lake medallion layers with partitioning and Z-ordering to cut query execution time by 40% and storage I/O by 30%, while orchestrating fully automated ADF pipelines for daily/weekly loads.

I also implemented proactive monitoring, alert rules, and failure-recovery logic to resolve 100% of pipeline SLA breaches within timelines, reducing downtime by 70%. Beyond pipelines, I build trusted SQL transformations (window functions, CTEs, multi-table joins) to reduce BI query time by 35% and collaborate on data contracts and schema standards so Power BI dashboards stay clean and latency-optimized.