Geetha Poola

About Geetha Poola

Analytical and detail-oriented Data Analyst / BI Developer with 8 years of experience in data analytics, business intelligence, and data warehousing. Skilled in designing end-to-end ETL pipelines, optimizing SQL queries, and building scalable dashboards using Power BI and Tableau to drive data-driven decision-making.• Expertise in data modeling (Star/Snowflake schemas), data transformation, and performance tuning for large datasets.• Proficient in SQL, Python (Pandas, NumPy), and Excel (Power Query, Pivot Tables, Macros) for advanced data analysis and automation.• Experienced in data quality validation, anomaly detection, and statistical analysis including A/B testing and forecasting.• Hands-on experience with ETL workflows, Python-based automation, and integrating data from Snowflake, Oracle, MySQL, and SQL Server.• Partnered with cross-functional teams in finance, operations, and product to deliver actionable insights and standardized KPIs.• Recognized for developing governance frameworks, creating audit-ready documentation, and training business users on ad-hoc reporting.

Experience

1. Data Analyst

   UnitedHealth Group

   Jan 2023 — Present · US

   Designed and developed scalable data pipelines using Spark, Hive, and Airflow to process multi terabyte healthcare and financial datasets.• Migrated legacy ETL workflows to cloud native architectures (AWS/Azure), improving performance by 40% and reducing compute cost.• Built Big Data frameworks leveraging Hadoop, HDFS, and Hive for enterprise reporting and analytics.• Optimized SQL and Spark jobs, reducing pipeline runtime from hours to minutes through partitioning, indexing, and caching strategies.• Implemented data governance, lineage tracking, and security controls aligned with HIPAA and enterprise compliance.• Integrated Kafka based streaming pipelines for near real time data ingestion and processing.• Supported CMS reporting requirements, including T-MSIS and PERM projects.• Developed quality metrics such as HEDIS and CHIPRA to measure program effectiveness.• Oversaw the development and enhancement of data pipelines and ETL workflows through all phases of the SDLC, ensuring data reliability.• Connected and transformed data from Snowflake and SQL Server into Tableau to support business intelligence reporting.• Automated data quality checks and validation processes using Python and SQL, reducing manual effort by 35%.