Fnu Gitanjali
@fnugitanjali
Senior Data Analyst specializing in scalable data pipelines, BI, and actionable insights.
United StatesWhat I'm looking for
I am a Senior Data Analyst with 5+ years of experience transforming raw data into actionable business insights. I specialize in building scalable data pipelines, optimizing ETL workflows, and designing dimensional models to standardize KPIs and improve reporting performance.
At Xponential Fitness I migrated thousands of Excel files into Snowflake, designed reusable star-schema layers and FACT tables, and built end-to-end Python KPI pipelines to unify millions of rows for fast I/O. I focus on reducing manual work and metric discrepancies through SQL validations and optimized data ingestion.
Previously at Microsoft and other employers I developed ETL pipelines, optimized BI performance using DAX and DirectQuery, and processed large-scale telemetry with Azure Data Factory, Databricks, and ADX/KQL. I have a strong record improving dashboard speed, report accuracy, and operational visibility for leadership.
I hold an MS in Data Science and enjoy mentoring colleagues, writing clear technical documentation, and applying statistical and machine learning techniques to forecast and optimize business outcomes. I seek roles where I can continue to scale data infrastructure and drive data-driven decisions.
Experience
Work history, roles, and key accomplishments
Senior Data Analyst
Xponential Fitness
Jul 2024 - Present (1 year 11 months)
Designed scalable ingestion pipelines migrating 3,000+ Excel files into Snowflake and built a reusable star-schema with 12+ FACT tables to standardize KPIs, reducing manual handling by 90% and cut refresh latency from hours to minutes.
Data Analyst
AA Paper Group
Sep 2023 - Nov 2024 (1 year 2 months)
Optimized supply chain and logistics using SQL and Tableau to reduce logistics costs by 15% and excess stock by 10%, and built predictive models to forecast inventory needs and support data-driven decisions.
Built scalable ETL pipelines in Azure Data Factory and ADX, optimized DAX and DirectQuery to improve report speed by 35%, and processed build telemetry impacting 750M+ devices to enhance reporting and dashboarding.
Analyzed 1B+ records and built ETL pipelines with Airflow and Databricks Spark to process large-scale telemetry, improving ETL performance by 40% and increasing user engagement metrics via A/B testing and analytics.
Analyzed inbound call data with Excel and SQL to optimize staffing and SLAs, reducing call wait times by 9% and improving NPS by 5%, and built Redshift ingestion workflows to streamline analytics.
Education
Degrees, certifications, and relevant coursework
Stevens Institute of Technology
Master of Science, Data Science
2021 - 2023
Grade: 3.8
Activities and societies: Teaching Assistant for Calculus for Business, Applied Machine Learning, Integral Calculus, Vectors & Matrices; relevant coursework in machine learning, deep learning, statistical methods, and time series forecasting.
Completed a Master of Science in Data Science with coursework and TA responsibilities in applied machine learning and calculus, graduating with a 3.8 GPA.
BIET
Bachelor of Engineering, Information Science and Engineering
Completed a Bachelor of Engineering in Information Science and Engineering.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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