Mar 2024 – Dec 2024 · 9 mos · Hybrid

• Spearheaded the Data Platform team of E-Commerce Sales Management (ESM) & Omni Command Center (OCC) products.
• Delivered a cost-saving milestone by leading the migration from Snowflake to Databricks, reducing ETL and AWS costs by over 60% for ESM components.
• Designed & Architected robust data models and ingestion frameworks, ETL pipelines, supporting global retailers like Amazon, Walmart and Target.
• Scaled the team from 4 to 8 engineers while cultivating a culture of innovation and high performance by strategizing team OKRs and individual growth plans aligned with organizational goals.

Mar 2023 – Feb 2024 · 11 mos · Hybrid

• Managed multiple engineering pods with direct reportees. Achieved < 1% SLA breaches across ESM data refreshes: Data Latency, Data Correctness, Data Availability etc
• Designed auto-healing systems and lean refresh mechanisms, significantly enhancing Amazon-powered report stability.
• Improved data ingestion speed by 40% with reusable Java libraries, reducing pipeline execution time from 40 to < 25 minutes.
• Led Amazon Copilot's expansion to new marketplaces like Australia, increasing product stickiness and driving ARR growth.

Oct 2021 – Feb 2023 · 1 yr 4 mos · Hybrid

• Designed, Developed and Led the Amazon Crawl to SP-API migration, contributing to $50M ARR growth in 2022.
• Built scalable services like AVC-Service and Config-driven Merger-Service, enabling the ingestion of 12,500+ data points.
• Designed, Developed and Orchestrated new ingestion model for Amazon Marketing Cloud data with 90% code coverage.
• Standardized engineering practices focused on SOLID, KISS, and DRY principles, promoting sustainable development.
• Enhanced CI/CD pipelines with integration testing frameworks, achieving 100% coverage.

Jun 2021 – Oct 2021 · 4 mos · Remote

• Lead the team and introduced LSQ (LeadSquared:CRM) integration for all ADS applications, syncs all the essentials attributes of applications for a given user to LSQ from application‐service.
• ADS: Application Data Service – Developed a new internal product to dynamically create, edit and publish application form for a given program page. Took complete ownership of form‐service with focus on code quality, strictly followed major Software Design and SOLID principles.
• Refactored form‐service code quality tech debts and improved API performances with introducing caching on static data using redis and enhancing aggregation pipeline queries for mongoRepository.
• Redesigned Legacy Combo Program Launch: Completely revamped combo program mappings and launching procedures through APL: Automated Program Launcher

Apr 2020 – May 2021 · 1 yr 1 mo · Remote

• Built form‐service from scratch with version control and rule engine design with 90% test coverage. Reduced the manual effort of creating an application page and from 4‐7 days to less than 20 minutes.
• Solely designed (LLD, HLD) and developed rules engine, part of form‐service and application‐service, which shortlists the learner based on the rule results for a given application.
• APL: Automated Program Launcher – Developed a new internal product to entirely automate all the program launches of upGrad. Reduced the manual effort of launching a program from 1 week to less than 1 hour.
• Owned growth part of upGrad: Central‐Service, developed multiple APIs related to Program, Application etc. Location detection of user on signUp and drop‐lead (program‐interest), which was major feature for upGrad, going international.

Jul 2019 – Apr 2020 · 9 mos · On-site

• Optimized and improved the performance of data flow between different micro‐service components of DOI: Digital Operational Intelligence by > 30%.
• Designed, developed, tested and owned significant scalable features for monitoring Cloud Technologies like Azure, VMware, AWS and Nutanix through DX‐IM: Digital Experience in Infrastructure Management.
• Avoided costly investments on third party monitoring tools by migrating to in-house monitoring features.

Dec 2018 – Jun 2019 · 6 mos · On-site

• • Redesigned the architecture of data processing in DX‐IM, which helped in achieving required scalability and boosted the processing speed by over 40%.

Oct 2017 – Nov 2018 · 1 yr 1 mo · Hyderabad Area, India

• • Owned end to end High Scale Probes of DX‐IM, rolled out significant features by extensively following TDD and Agile methodologies.

Feb 2017 – Oct 2017 · 8 mos · Bengaluru Area, India

• Contributed to an early stage start‐up in Full Stack Design and Development.
• Developed and shipped REST APIs, Web Applications and Schedulers from scratch.

Jul 2016 – Jan 2017 · 6 mos · Bengaluru Area, India

• Software Development in C++ for HLR: Home Location Register, a component of GSM: Global System for Mobile.
• Optimized, enhanced and delivered TPD – Technical Project Data of HLR which serves the customer directly.
• Among the Top 15 Coders in Nokia Code‐Rally 2016 conducted on HackerEarth platform.