Aug 2022 – Mar 2023 · 7 mos · Bengaluru, IN · On-site

• 1. Collaborated with 5 cross-functional leaders to reduce merchant churn by 15% and increase revenue by 5%, architecting an A/B testing framework using Snowflake, dbt, and Tableau for data modeling and visualization.
• 2. Reduced financial losses by 20% by productionizing a tuned XGBoost model that lifted fraud detection precision by 15%, delivering real-time investigation signals to the Risk team.
• 3. Led the development of an automated GenAI pipeline (LangChain, BERT) that saved the Product team 15+ hours weekly by summarizing and clustering customer feedback for sentiment analysis.
• 4. Eliminated 20+ hours of manual reporting weekly by delivering >99.9% accurate daily ELT pipelines, orchestrating a CI/CD workflow with Airflow, dbt and Snowflake for 40+ GB of data.

Sep 2019 – Jul 2022 · 2 yrs 10 mos · Jaipur, Rajasthan, India · On-site

• 1. Drove an estimated $1.2M in annual savings for a retail client by re-architecting a nightly sales aggregation pipeline in Spark on AWS EMR, which improved demand forecast accuracy by 15% and enabled real-time reporting in Looker.
• 2. Accelerated time-to-revenue by cutting new client onboarding from 4 weeks to 3 days; engineered a reusable CDC framework (Debezium, Kafka Connect) that reduced future onboarding costs by over 70%.
• 3. Avoided significant SLA penalties by architecting a resilient, event-driven pipeline in Kafka that decreased data load failures by 70% and ensured 99.9% SLA compliance for 200M+ daily transactions.
• 4. Mentored 2 junior engineers while partnering with compliance teams to build an automated data quality reporting process (SQL, Airflow) that cut client escalations by 30%.