Skills & Associated Projects Matrix
Quickly check key technical competencies and the specific initiatives where they were applied.
Applied in Projects:
• Flipkart Minutes Inventory Platform
• Last-Mile Asset Performance & Attribution
• Jeeves Home Services Platform Migration
Applied in Projects:
• Real-time stock availability sync (Kafka/PubSub + Dataflow)
• Batch inventory pipelines orchestrated via Airflow & Composer
Applied in Projects:
• Modular transformation models via dbt on BigQuery/Snowflake
• Centralised SQL Server warehouse design at Pathfinder
Applied in Projects:
• Flipkart Minutes Inventory Performance Platform
• Grocery Supply Chain Asset Scoring & Breach Attribution
Professional Journey
Track record of building enterprise data pipelines and infrastructure at scale.
Senior Data Analyst (Data Engineering & Analytics)
Flipkart, Bangalore
Flipkart Minutes - Inventory Performance Data Platform (Batch + Streaming)
- Engineered an end-to-end inventory performance data pipeline and measurement framework for Flipkart Minutes, landing raw data in Cloud Storage (GCS) and transforming it into BigQuery and Snowflake for downstream reporting.
- Orchestrated batch inventory-sync pipelines using Apache Airflow and Google Cloud Composer, coordinating Hadoop/Hive and PySpark jobs run on Dataproc across multiple upstream source systems.
- Built and consumed Kafka and Pub/Sub-based streaming feeds, processed through Dataflow, to keep stock and in-stock availability data synchronised across systems in near real time.
- Used Cloud Bigtable as a low-latency serving layer for real-time inventory lookups feeding operational dashboards.
- Used dbt to build and document modular transformation models on top of BigQuery/Snowflake, standardising the inventory metric layer for downstream consumers.
- Containerised select pipeline components with Docker and used Terraform for basic provisioning of supporting pipeline infrastructure, improving deployment consistency.
- Built and maintained scalable data models and automated dashboards (BigQuery + Looker Studio) to track inventory health and demand efficiency across the business.
- Defined and operationalised the metric layer (Fill Rate, POs, Customer & Order Penetration, OOS, GMV, Conversion, Impressions, DOH, Stock Turns, Ullage, Inventory Value) consumed by multiple downstream teams.
- Partnered with category and brand teams to expose transparent, data-backed views of inventory productivity, directly informing negotiation and planning decisions.
Grocery Supply Chain - Last-Mile Asset Performance & Attribution
- Designed a multi-theme scoring data model (Reliability, Experience, Losses) to rank last-mile assets, processing high-volume event logs with Hadoop/Hive and PySpark on Dataproc.
- Built an asset-level Breach Attribution data model by stitching upstream and downstream systems (planning, execution, last-mile operations, customer touchpoints) via Pub/Sub and Dataflow streaming pipelines orchestrated with Cloud Composer, feeding a Bigtable-backed serving layer for root-cause visibility.
- Delivered pipeline-driven insights that enabled operations teams to prioritise interventions, reduce losses, and improve service reliability.
Grocery Supply Chain & Jeeves Analytics - Platform Operations (Cross-functional)
- Owned and monitored production analytics pipelines on the Flipkart Data Platform (FDP), proactively identifying and resolving job failures and upstream/downstream dependency issues.
- Instrumented RCA frameworks and driver models providing L0/L1 visibility into customer pain points, breaches, and productivity.
- Supported tech-stack migrations end-to-end, ensuring accurate data mapping and smooth stakeholder adoption of new dashboards and metric definitions.
Data Analyst
Flipkart - Jeeves (Home Services & VAS)
- Built end-to-end data pipelines and visibility dashboards for installation, repair, and VAS services using QlikView, HiveQL, MySQL, and Python.
- Designed data models and metrics for Field Failure Rate, Repeat Repair, TAT (L0/L1/L2), Claims Exposure, Policy Base, and Part Demand.
- Developed outcome-based attribution data models for Refund, Replacement, and Repair decisioning.
- Led the complete data-platform migration of Jeeves analytics from QlikView to the Flipkart Data Platform, including pipeline re-engineering and validation.
- Ran enablement sessions to onboard stakeholders onto the new platform and dashboards.
Data Engineer
Pathfinder Business Analysis, Coimbatore
- Designed and implemented ETL pipelines integrating heterogeneous real-estate data sources into a centralised SQL Server data warehouse.
- Built and maintained data solutions using SQL Server, SSIS, SSRS, Power BI, Python, and Azure.
- Created stored procedures, views, and triggers; optimised query performance through indexing and execution-plan tuning.
- Performed database administration (backups, restores, performance tuning, production deployments) to keep pipelines reliable.
- Delivered production-grade data warehouses and marts supporting downstream analytics and reporting.
Awards & Recognition
Milestones and peer recognitions for execution excellence.
Ace Alliance Award
Delivered business-agility analyses and built the Buying Looker Dashboard supporting brand negotiations and BSM outcomes.
Ace Alliance Award
Led end-to-end development and cross-functional rollout of Grocery Looker dashboards, optimising backend design and driving adoption.
BBD Spot Award
Recognised for high-ownership execution of repair and VAS operations during the Big Billion Days sale.
SC Analytics - Star of the Month
Awarded for customer pain-point deep-dives and stakeholder collaboration.
Best New Talent Award
Recognised for rapid business understanding and building RCA frameworks with L0/L1 visibility.
Education
SVKM's Narsee Monjee Institute of Management Studies (NMIMS), Mumbai
Master of Business Administration - MBA, Operations & Data Sciences
Dr. NGP Institute of Technology, Coimbatore
Bachelor of Engineering (B.E.) in Computer Science & Engineering