Sep 2024 – Present · 1 yr 7 mos

Sep 2022 – Sep 2024 · 2 yrs

Jul 2019 – Sep 2022 · 3 yrs 2 mos

• As part of an outbound facing team for Flipkart's supply chain, I am responsible for both system improvements as well as business deliverables with time critical deadlines. The following are the major projects and tasks I've undertaken:
• 1. Took forward the automation charter:
• Systematically followed the SDLC from PRD comments to Design Document to taking the project live.
• Brainstormed and developed an efficient solution that is scalable and robust to the increasing needs of onboarding and integrating different automation vendors.
• Refatored the necessary code base to comply with the design principles and have the newly added features.
• Onboarded two Automation Vendors.
• Defined a detailed test scenario and had intensive integration testing sessions with the vendor to ensure smooth go live.
• 2. Onboarded team to a Distributed Fault tolerant solution for scheduled tasks:
• Responsible for improving the existing scheduled task solution which used Linux Cron job, to a distributed fault tolerant scheduler named Chronos with Apache Mesos and Zookeeper.
• Improved the visibility of the task failures and therby reduced it by making the necessary fixes.
• Took sessions for the team to explain the working and details of the implementation.
• 3. Helped resolved a major P0 outage related to Redis DB at the time of years biggest sale.
• Performed under critical pressure to find out the issue and fix it within time to minimize the damage.
• Did a detailed study and analysis of Redis logs and documentation to provide an accurate Root Cause Analysis (RCA) of the issue with a detailed 5 why analysis.
• Reproduced the issue on stage environment.
• Suggested an improvement in the Redis DB checklist to the leadership and architect based on the analysis.
• 4. Developed a feature in the existing codebase to mandate a specific metric recording process for the ground ops. The feature increased business visibility and helped in making better decisions for optimum loading of trucks and accurate costing.