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System Speed & Efficiency Boost

I cut search times by 75% and reduced data size by 68% to create a better user experience.

RoleSenior Engineering Lead
ClientChubb & ThermoFisher
Duration1 year 8 months
Team Size12 Members

The Challenges

  • ✕ Users experienced slow search results which hurt engagement.
  • ✕ Large data volumes slowed down storage and processing.
  • ✕ Old systems were hard to maintain and update.

My Solutions

  • ✓ I added robust workflow tools to manage complex data tasks.
  • ✓ I used smart compression to save storage space.
  • ✓ I modernized the entire tech stack for better efficiency.

Key Results & Impact

Search results now appear 75% faster than before.
Stored data takes up 68% less space.
The system is now easier for the team to maintain.

Key Responsibilities

  • 01I integrated new workflow tools to replace slow legacy systems.
  • 02I simplified data processes so the app works better in different languages.
  • 03I moved 22 applications to a modern framework for better performance.
  • 04I built fast data flows between systems using Kafka and MongoDB.

Technologies Used

Spring Boot Kafka MongoDB Apache Airflow