Tanvir Chowdhury
Business Analyst at Travel + Leisure Co.
- Role
- Business Analyst at Travel + Leisure Co.
- Location
- Orlando, FL, US
- LinkedIn followers
- 500 followers
About Tanvir Chowdhury
I\'m a Business Analyst at Travel + Leisure Co. working at the intersection of analytics…
Experience
Business Analyst
Jun 2022 — Present · Orlando, FL, US
Led SAS-to-Snowflake migration under the MDP initiative. Built star schema models with SCD Type 2 dimensions for scalable Power BI analytics. Optimized SQL, automated workflows using Python, and developed dashboards in Power BI and Oracle Analytics Cloud to support strategic decisions.• Directed the development and optimization of the Modern Database Platform (MDP) project, orchestrating the migration from SAS to Snowflake. Emphasized ETL processes, SQL code development, debugging, and upheld data integrity via meticulous validation• Led performance optimization initiatives in Snowflake by implementing advanced SQL techniques including window functions, CTEs, query partitioning, and result caching. Automated workflows and collaborated with DBAs to fine-tune virtual warehouse configurations, resulting in faster query execution, reduced compute costs, and improved data pipeline efficiency• Developed dynamic, interactive dashboards in Power BI to visualize and analyze owner transaction patterns, leveraging data modeling and DAX functions. Empowered stakeholders to make data-driven decisions with real-time analytics and KPI tracking• Developed Streamlit applications integrated with Snowflake to automate team workflows. Built a solution using Python that ingests weekly CSV files, applies complex data transformations, loads results into Snowflake tables, triggers downstream SQL processes, and sends automated email alerts—streamlining manual tasks and improving operational efficiency•Engineered dimensional modeling in Snowflake, transforming large transactional datasets into a star schema with surrogate keys, SCD Type 2 dimensions, and hierarchies. Built upstream transformations and pre-aggregations to optimize Power BI semantic models—enabling query folding, incremental refresh, and aggregation tables, which cut refresh times and storage while improving dashboard performance. Reduced one source table from 43M rows to 15K aggregated records.
Education
University of Florida
Bachelor of Science - BS
2014 — 2017
University of South Florida
Graduate Coursework
2018 — 2019
University of Florida
Masters of Science in Information Systems and Operations Management
2021 — 2022
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