At KPMG, I build data pipelines across AWS, Kafka, Airflow, and Snowflake. I developed real-time ingestion that streams more than 1 million events a day into Snowflake, reducing data latency from daily batches to under 2 minutes.
At TransLink, I modeled Salesforce CRM data into dimensional tables and built reporting-ready models on BigQuery. I also processed more than 400 million ridership and fare records with PySpark, cutting batch runtime from 3 hours to 50 minutes.
Earlier, as a Power BI Developer at HDFC Bank, I built SSIS packages for daily transaction data and created dashboards for lending and risk. I bring data engineering and analytics together, shaping curated datasets and governed KPIs for the people who use them.
