Mithu Bhudolia
Senior Business Intelligence Engineer @The TJX Companies, Inc.
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WORK HISTORY
Senior Business Intelligence Engineer @The TJX Companies, Inc.
San Diego, CA, US
Led retail analytics infrastructure supporting $100M+ inventory, banking and merchandising decisions, integrating 50+ POS, ERP, and supply chain data sources into Snowflake and Redshift.Developed Databricks (PySpark) pipelines processing 70M+ records daily, improving query performance by 65% and sustaining 99.9% pipeline stability.Strengthened data integrity and workflow automation using GitLab and Control-M, reducing reporting errors by 40%.Built executive KPI dashboards in Tableau and QuickSight, accelerating planning cycles by 50% and eliminating 80% of manual Excel reporting.Applied Python-based time-series and driver analysis to improve demand forecasting accuracy by 18% across regional and category operations.
EDUCATION
National Institute of Information Technology
GNIIT, Computer Software Engineering
Sikkim Manipal University - Distance Education
Master's degree, Computer Application
Kuvempu University, Shankaraghatta, Shimoga
Bachelor’s Degree, Information Technology
SKILLS
ABOUT MITHU BHUDOLIA
Business-focused Data & Analytics Leader with 10+ years of experience translating complex data into actionable insights that drive strategic and operational decisions across Retail, E-commerce, FinTech, Payments, AdTech, Digital Media, and Healthcare/Pharma. Proven track record partnering with Product, Engineering, Finance, and Business stakeholders to solve ambiguous problems, define metrics, and operationalize data at scale.Specialized in Databricks-based analytics platforms, large-scale data engineering, and AI-enabled insight generation, with extensive experience designing and operating data lakes, data warehouses, and downstream analytics data marts using ETL and ELT pipelines across Databricks, Snowflake, Redshift, AWS, and Azure. Deep hands-on expertise in workflow orchestration, incremental and batch processing, and SLA-driven data reliability.Strong background in data governance and trust, including managed metadata, end-to-end lineage, role-based access controls, and compliance-aware reporting, enabling auditable, certified, and self-service analytics for executive and operational use cases. Expert in building production-grade pipelines, analytics-ready data models, and standardized metric layers using SQL and Python, and delivering high-impact Tableau and QuickSight dashboards that reduce manual reporting and accelerate decision-making.Experienced working in Agile/Scrum environments, leveraging Git, CI/CD pipelines, and Confluence for version control, release management, and documentation. Recognized for modernizing BI ecosystems, improving data quality and adoption, mentoring analysts, and enabling experimentation, forecasting, and data-driven decision-making across organizations.
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