Shashank Patil

Senior Software Engineer

Karnataka, India6 yrs 2 mos experience

Most Likely To Switch

Key Highlights

Stackforce AI infers this person is a Backend-focused Software Developer with expertise in Logistics and E-commerce systems.

Database Management System (dbms)

Amazon Web Services (AWS)Data Structures and AlgorithmsObject-Oriented Programming (OOP)TypeScriptJavaC (Programming Language)Core JavaC++Blockchain

6 yrs 2 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 9 mos

Current Experience

Aug 2024 – Present · 1 yr 9 mos · Bengaluru

Oct 2023 – Aug 2024 · 10 mos

Was part of Shopify Logistics acquisition.
Designed and implemented a critical inventory replenishment system integrating Flexport warehouses with Amazon FBA APIs — ensured seamless stock transfers,
reduced merchant stockouts, and improved fulfillment reliability for thousands
of listings.
Designed and implemented a long-term pallet lifecycle reporting and analytics
system — established the source of truth for merchant billing, reduced
reconciliation errors, and improved warehouse efficiency.
Implemented features like merchant billing, refund status integration, and inbound
compliance — improved merchant experience and reduced operational
overhead.

Apr 2022 – Sep 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India

3 roles

Promoted

Oct 2021 – Apr 2022 · 6 mos

Worked on building Recommendations and Dashboards to provide useful information about products of sellers selling on e-commerce channel which helped sellers identify reasons for their revenue leakage.

Jul 2020 – Sep 2021 · 1 yr 2 mos

Designed the data ingestion platform, including a majority of its micro-services which reduced the time and effort required to support Data Ingestion from a new source by 3x.
Built from the ground up, ETL data pipelines for data ingestion which helped the company transition from Amazon-specific e-commerce channel optimizer to omnichannel (multi-retailer) optimizer.
Improved Backfill data ingestion process from a retailer source by increasing its throughput by 3 times, reduced manual intervention to zero, and provided audit data about the ingestions.
Was part of the on-call rotation, handled critical issues, and carried out RCAs. Improved existing services by reducing on-call issues by approximately 10 times .

Jan 2020 – Jul 2020 · 6 mos

Instrumented end-to-end product refresh to push metrics to third party telemetry cloud
which helped visualize the performance of pipeline in
Dashboard, meet product refresh SLA timing, and also carry out several
optimizations to reduce total data pipeline execution time.