GAYATRI DEVI KAJULURI
@gayatridevikajuluri1
SQL-first data analyst driving production-grade analytics, KPI engineering, and decision-ready dashboards.
What I'm looking for
I am a SQL-first data analyst with hands-on experience building production-grade analytics, KPI engineering, and decision-support systems across Healthcare, Retail, and FinTech domains. I prioritize data integrity, reproducibility, and stakeholder-aligned outcomes.
I design star/snowflake schemas and automated ETL/ELT pipelines, optimizing large-scale queries and indexing to improve performance and reduce reporting time. My projects simulate production conditions on multi-million record datasets and emphasize modular, version-controlled transformation logic.
My work has identified multi-million-dollar revenue and budget variances, reduced manual validation effort by 80%, and cut reporting cycles by 70%. I build executive Power BI dashboards (DAX, RLS, Power Query) and implement data validation and anomaly-detection frameworks to support operational and strategic decisions.
I bring strong stakeholder management, data storytelling, and cross-domain analytical adaptability to teams seeking reliable, actionable analytics. I am driven to turn complex data into clear, auditable insights that protect revenue and guide prioritization.
Experience
Work history, roles, and key accomplishments
Data Analyst
Independent Project
Jan 2026 - Present (1 month)
Built production-style analytics for Healthcare, designing star-schema models and modular SQL staging pipelines for 5M+ clinical records; implemented anomaly detection and query optimizations that reduced validation effort by 80% and improved query execution time by 40%.
Data Analyst
Omnichannel Retail Project
Nov 2025 - Dec 2025 (1 month)
Analyzed a $150M+ transactional dataset to surface $22M revenue leakage and a $20.1M logistics gap; designed automated ETL workflows that cut reporting cycle time by 70% and delivered executive Power BI dashboards for revenue risk monitoring.
Data Analyst
FinTech Analytics Project
Sep 2025 - Nov 2025 (2 months)
Performed SQL-driven variance decomposition on budgets, exposing $48.3M planned vs actual variance and building burn-rate dashboards that flagged 25% of initiatives as high-risk; automated recurring financial reports via Power BI and SQL.
Education
Degrees, certifications, and relevant coursework
Holy Mary Institute of Technology and Science
Bachelor of Technology, Computer Science and Engineering (AI & ML)
2021 - 2025
Grade: CGPA 8.10
Completed a Bachelor of Technology in Computer Science and Engineering with specialization in AI & ML, focusing on machine learning, data engineering, and software development; achieved CGPA 8.10.
Availability
Location
Authorized to work in
Job categories
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