At Bestpeers Infosystem Pvt. Ltd., I engineer Python and SQL ETL pipelines that load source data into Amazon S3 and Snowflake via Snowpipe. I also optimize Snowflake procedures and queries to speed downstream reporting.
I improved Apache Airflow pipeline failure recovery time by 35% through DAG monitoring, log-based root cause analysis, and automated alerts. I also built and enhanced a centralized DataVerse platform that brings data from multiple systems into one interface.
On Project Lynx, I engineered data pipelines that integrated operational, sales, inventory, product, and forecast data for Kmart Australia and Target Australia into a Snowflake data warehouse. I also built containerized Python extraction services and an inventory carry-forward and backfill engine.
Previously, as a Data Analyst Intern at The Prime Step, I analyzed datasets of 200K+ records and created Power BI and Excel dashboards. My work reduced ad-hoc reporting requests by 25% and cut manual reporting turnaround from days to under two hours.
