Urmila Sharma

About Urmila Sharma

Seasoned Data Engineering and Business Intelligence professional with over 17 years of experience driving data strategy, building scalable analytics platforms, and delivering actionable insights across e-commerce, insurance, retail, and finance domains. Adept at leading cloud migration initiatives, designing end-to-end ETL workflows, and enabling data-driven decision-making through robust architecture on AWS, GCP, and Snowflake.Recognized for spearheading large-scale data solutions, including Chewy\'s Canadian market expansion, and automating analytics pipelines and KPI reporting frameworks that significantly reduce manual effort and accelerate business insight delivery. Skilled in Python, SQL, KNIME, Apache Airflow, BigQuery, Informatica, Looker, and SAP BusinessObjects with a strong foundation in marketing analytics and campaign performance optimization.A collaborative leader with proven ability to align cross-functional stakeholders, define KPIs, and translate business needs into scalable, enterprise-grade data systems. Known for excellent communication, mentorship, and a passion for leveraging data to drive strategic outcomes.

Experience

1. Lead Business Intelligence Engineer

   Chewy

   Jun 2023 — Present · Bellevue, WA, US

   Designed and implemented end-to-end ETL workflows using SQL, KNIME, and Apache Airflow, including pipelines to ingest data from Smartsheets, streamlining data availability for analytics and reporting.• Spearheaded the development of scalable data pipelines leveraging AWS (ECS, S3, Lambda) and Snowflake to support Chewy’s Canadian expansion. This initiative enabled data-driven decision-making for planning and operations strategy across new markets.• Automated the deployment of machine learning models using AWS ECS and SageMaker, improving model accessibility and reproducibility across teams.• Led the successful migration of legacy on-premise data infrastructure to Snowflake, enhancing data accessibility and enabling scalable analytical workflows.• Established Git repositories, CI/CD pipelines, and team-wide development infrastructure to accelerate and standardize deployment processes.• Automated WBR (Weekly Business Review) and OBR (Operational Business Review) reports, reducing manual workload by 20% and enabling real-time tracking of actionable KPIs.• Created and maintained Confluence documentation to support team knowledge sharing and streamline onboarding for new team members.• Collaborated cross-functionally with stakeholders to gather data requirements, define key performance indicators, and deliver tailored data solutions.• Presented the Canada data architecture and solution at the Enterprise Data Summit, where the presentation sparked enterprise-wide interest and discussions on scalable pipeline design best practices.

Education

• Government College Of Engineering,Salem

  Bachelor of Engineering (BEng), Electrical and Electronics Engineering

  2000 — 2004

• BITS Pilani

  Master of Science (M.S.), Software Systems

  2012 — 2014

Skills

• Data Warehousing
• Business Objects
• Sap Businessobjects
• Web Intelligence
• Microstrategy Reporting
• Business Intelligence
• Etl
• Extract, Transform, Load (Etl)
• Informatica
• Business Objects Data Integrator
• Requirements Analysis
• Sdlc
• Pl/Sql
• Oracle
• Sql
• Business Analysis
• Databases
• Testing
• Requirements Gathering
• Software Project Management
• Toad
• Dimensional Modeling
• Sql Tuning
• Unix
• Six Sigma
• Performance Tuning
• Software Development Life Cycle (Sdlc)