Sri Nagabothu

Data Analyst @Axitemus

Los Angeles, CA, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jun 2025 — Present

Data Analyst @Axitemus

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MI, US

Analyzed 5M+ records across 12+ datasets to identify performance trends, anomalies, and drivers, supporting weekly and monthly executive reporting.Developed and optimized 40+ SQL queries and Python ETL workflows to process multi-source data, improving data accuracy by 22% and reducing refresh time by 35%.Built and maintained 8+ interactive dashboards monitoring 10–15 KPIs per dashboard, supporting 100+ active users across leadership and operations.Automated data validation checks covering 95%+ of incoming records, reducing downstream reporting errors by 30%.Partnered with 5+ cross-functional teams to define metrics, align KPIs, and deliver analytics used in quarterly planning and performance reviews.

EDUCATION

N/A

California State University-San Bernardino

Master's degree, Computer Science

ABOUT SRI NAGABOTHU

Data Professional with nearly 3 years of experience delivering end-to-end data integration, engineering, and analytics solutions across enterprise environments. I specialize in building SQL based data pipelines, ETL workflows, and scalable data models that transform fragmented, multi-source data into centralized, analytics ready platforms.In my current and past roles, I’ve worked closely with cross-functional teams to design and maintain reliable data workflows, perform large scale data validation and reconciliation, and develop Power BI dashboards that support operational, strategic, and executive decision-making. My work focuses on creating data systems that are not only accurate, but also well documented, reusable, and aligned with business needs.I bring strong hands-on experience with SQL, Python, Excel, Power BI, and Tableau, along with foundational exposure to AWS and Azure data services. I’m particularly comfortable working in environments where data is unstructured or evolving, and where bringing clarity, structure, and efficiency to data processes is critical.What I do best:Design and maintain SQL based data models and transformation logicBuild and support ETL / ELT workflows for recurring and ad-hoc reportingPerform data quality checks, reconciliation, and anomaly detection at scaleDevelop KPI frameworks and executive ready dashboards in Power BI and TableauCreate clear documentation for data pipelines, schemas, and processesCollaborate with stakeholders to translate requirements into scalable data solutionsI’m passionate about using data to simplify complex processes, improve data reliability, and enable better decision making. I enjoy roles that sit at the intersection of data engineering, analytics, and business operations, where thoughtful data design can have a real operational impact.

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