Simran Kaur

Software Engineer with 4 years at Microsoft building planet-scale commerce intelligence platforms powering Bing, Edge, MSN, and Microsoft Shopping. Sole end-to-end owner of Price History and Price Tracking systems spanning 19 international markets and 10K+ commerce domains, serving tens of millions of daily users. Deep expertise in real-time data pipelines, predictive modelling, data quality engineering, and financial reporting at enterprise scale.

Proven architect of systems that convert raw telemetry into measurable revenue impact and consumer trust.

Software Engineer — Data & Analytics at Microsoft India (R&D) Pvt. Ltd. (2022-10 – Present)

• BizDART — Enterprise Data Observability & Quality Platform: Conceived, architected, and shipped BizDART, a self-serve Data Observability platform monitoring 100+ pipelines and 500+ business-critical validation rules across 20 enterprise data domains. Platform executes configurable test suites on domain-owner-defined schedules with automated email alerting for anomalies before they reach production. Designed a circuit-breaker mechanism that short-circuits upstream pipelines on critical test failures, preventing bad data from propagating downstream and auto-notifying all dependent teams. Integrated AI-powered resolution suggestions at the point of failure, reducing mean time to resolution and enabling on-call engineers to act without deep domain context. Adopted by 30+ stakeholders as the primary data-quality interface across Microsoft's commerce data estate.
• Price History — Predictive Price Intelligence Platform: Architected and owned end-to-end a web-crawling-based Price History system that extracts, maps, and stores historical price data for millions of products across all Microsoft Shopping surfaces. Built a predictive modelling layer that forecasts price trends — surfacing actionable buy-now-or-wait recommendations (e.g. "an X% drop is expected in the next Y weeks ahead of shopping season"). Revamped the platform from a SKU-centric to a product-centric model, enabling users to compare prices across all product variants in a single view. Deployed globally across all commerce markets with full telemetry coverage.
• Price Tracking — Real-Time Price Alert System (19 Markets · 10K+ Domains): Built and scaled a real-time price tracking data pipeline integrating in-house web-crawling with third-party partners (Keepa, BrightData) to monitor live prices across 10,000+ domains globally. Designed the signal architecture triggering user notifications on a ≥20% price drop, and extended the system to alert across alternative SKUs and sellers — ensuring users always capture the best available price. Enforced ≥98% price data quality via crowd-sourced validation workflows using Toloka and UHRS. Instrumented full telemetry coverage across the feature funnel, enabling data-driven iteration on notification relevance and opt-in rates.
• Coupon Ingestion & Trust-Scoring Engine: Designed a zero-to-one coupon ingestion system that onboards seller coupons at scale, enabling maximum savings for users across all commerce domains worldwide. Engineered a seller trust-score algorithm that filters fraudulent or low-quality coupons at the ingestion layer, protecting data integrity. Built a real-time suppression portal allowing operations teams to blacklist coupons/sellers within minutes — a critical control during high-traffic sale events. Defined and owned the savings metric that assigns monetary value to coupon-driven conversions, now adopted as a key stakeholder KPI.
• Price History Savings Metric — Business Value Quantification: Partnered with Product and Business leadership to define the canonical savings metric for the Price History feature, translating feature engagement into attributable dollar savings for end users. Metric is now embedded in executive-level reporting and directly informs product investment decisions.
• Global Financial Reporting Platform — Medallion Architecture: Sole engineer responsible for Microsoft's global seller revenue and earnings financial reporting pipeline, processing data across all international geographies for 3+ consecutive years without an SLA breach. Architected and migrated the raw data layer to Medallion Architecture (Bronze → Silver → Gold), improving pipeline reliability and downstream query performance. Spearheaded recurring rollover operations (geo expansions, exchange-rate changes, fiscal-year transitions) delivering uninterrupted reporting continuity for 100+ business stakeholders. Deployed an AI-powered agent-and-skills framework that compressed change-impact-analysis time from 7 days to 1 day — a 6× reduction in operational overhead.
• Mentored 2 Microsoft interns and collaborated across global engineering, product, and business teams.

Business Technology Analyst at Deloitte USI (2022-06 – 2022-10)

• Enterprise Analytics Pipeline Modernisation: Rebuilt legacy enterprise billing analytics pipelines using SQL and SAP ABAP for a major nuclear energy client, improving reporting accuracy and reducing downstream analytical failures for operational decision-making.
• Scalable KPI Reporting Architecture: Collaborated with business and technical stakeholders to translate complex reporting requirements into modular SQL-based analytics solutions, improving reusability and cutting ad-hoc report turnaround time.

B.Tech in Computer Engineering (Minor in Data Science) – Thapar Institute of Engineering and Technology (2018 – 2022)