Oct 2022 – Present · 3 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

• Accounting System: Designed and built a scalable automated ledger that maintains all the financial transactions performed during the life-cycle of a policy and can handle 10M+ transactions in a day. Completely removed manual dependency by building automatic report generation for the finance and underwriting team while minimizing cost by 80%.
• Config Module: Designed and developed a module on top of BigQuery that overcomes the query size limit of 1024K characters and runs in the BigQuery infrastructure without introducing additional costs and increasing noticeable query response time.
• Dead-Letter Queue Retry System: Designed and developed a scalable DLQ retry architecture that runs on Apache-Airflow. DLQs can be added/removed based on configs. We managed to overcome the 14 days retention period and run infinite retries on scale.

Aug 2021 – Sep 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

• Worked on an automated ledger that can easily handle 1M+ financial transactions per day. This automated ledger tracks every financial transaction made during the lifecycle of a policy. Data is pushed into GBQ using Kafka.
• Built directed acyclic graphs to handle complex workflows using Apache Airflow. So instead of running manual scripts for policy cancellation, migration, etc Airflow DAG can be scheduled and executed.