Jun 2023 – Present · 2 yrs 9 mos · Hyderabad

• # Engineering core components of the Bamboo Rose Migration pipeline, which processes Spark-transformed S3 data into Kafka and ingests it through high-volume Go-based consumers to support the migration of 7.5B SKUs and 1.5B Products from legacy systems into a unified, API-driven Bamboo Rose integration, one of the largest data migrations undertaken within the
• organization.
• # Led modernization of the Purchase Order data pipeline under the I2O (Inventory Intelligence and Optimization) initiative—redesigning legacy SCD Redshift flows into a near real-time, event-driven Iceberg + StarRocks architecture with medallion modeling, and adding Superset-based reconciliation dashboards and DQ checks—reducing data latency from approximately 24 hours to under 5 minutes and enabling high-trust, near real-time PO analytics for downstream systems.
• # Designed and implemented foundational flows for TOMS (Transfer Order Management System)—including TO creation, validation, state management, submission to warehouse systems, and bulk upload + auto-submission pipelines—significantly improving operational accuracy, closing key SOX audit gaps, providing centralized visibility into inter-warehouse transfers, and helping resolve $18M in inventory data discrepancies.
• # Engineered durable, replayable Temporal workflows for the Inventory Visibility Program Initiative to orchestrate inbound receipts, invoices, and inventory adjustments—improving data correctness across systems and reducing inventory variance from 20% to 5%.

Jun 2022 – May 2023 · 11 mos · Hyderabad

• # Engineered core features for POMS, Fanatics’ enterprise platform responsible for orchestrating the full Purchase Order lifecycle for 800+ internal buyers across supply-chain operations.
• # Owned major components of a large-scale migration initiative, reliably ingesting and transforming 80K+ POs from legacy Microsoft Dynamics AX system into POMS through robust validation rules, deduplication logic, and phased rollout mechanisms.
• # Conducted load testing and profiling to uncover performance bottlenecks in critical APIs; optimized service logic and database queries to achieve 30% overall latency reduction, with one heavily used API improved by 50%, resulting in faster and more reliable user workflows.
• # Developed modular UI components and workflows using React, TypeScript, and Apollo GraphQL, improving frontend consistency and usability across POMS screens.

Feb 2022 – May 2022 · 3 mos · Hyderabad

• # Developed backend components in Golang to process inbound Purchase Order and Transfer Order receipts from 3PL partners, automating reconciliation for 100K+ monthly inventory transactions.
• # Implemented reliable Apache Pulsar event consumption for receipt messages by adding journaling, deduplication checks, and idempotent processing logic, reducing duplicate/failed D365 updates by about 90%.
• # Built and deployed event-driven microservices using Golang, Apache Pulsar, Docker, and AWS, with automated multi-environment releases via GitLab CI/CD.