Sagarika Raju

Data Engineer

Los Angeles, California, United States1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built real-time data pipelines for healthcare and retail.
Designed an AI system for data insights automation.
Expert in Azure and Snowflake data engineering.

Stackforce AI infers this person is a Data Engineer specializing in SaaS and Fintech data solutions.

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Skills

Core Skills

Microsoft AzureData EngineeringSnowflakeData Quality TestingSqlData AnalysisData Visualization

Other Skills

AZURE EVENT HUBSCI/CDTableauetl pipeliningAdvanced query toolOracle DatabasePythonExcel DAXGoogle Earth EngineETL PipelinesLangGraphClinical Data PipelinesData StreamingData ValidationNaïve Bayes Classification

About

I love building things with data - Pipelines, AI systems, dashboards. Recently graduated with Masters in Analytics from USC. Some things I've built: @ The Cheesecake Factory - Event-driven platform on Azure tracking 300+ data pipelines in real time. Built dashboards that helped teams catch failures faster. @ LA General Medical Center - Clinical data pipelines using BigQuery and HL7/FHIR. Healthcare data, production-grade, HIPAA-compliant. DataSense AI - My own project. An agentic AI system using LangGraph, RAG, and the Claude API that reasons over data and surfaces insights. Full automation with GitHub Actions. Always working on something new. Open to connecting with people who love data as much as I do

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

The cheesecake factory

Data Engineer

Jun 2025 – Aug 2025 · 2 mos · Calabasas, CA · On-site

Designed and scaled a centralized, event-driven monitoring platform using Azure Event Hub, Azure Functions, and Azure SQL to track 300+ data pipelines in near real time
Reduced pipeline failure detection from hours to minutes by enabling proactive alerts for failures, missed runs, and SLA breaches
Productionized the system with CI/CD using GitHub Actions and validated reliability through load testing to support 2×–3× future growth
Delivered executive-level Tableau dashboards adopted by BI teams and VP leadership

Microsoft AzureAZURE EVENT HUBSData Engineering

University of southern california

Research Assistant - Data Engineering

Feb 2025 – Jun 2025 · 4 mos · Los Angeles, CA

Designed and built a Snowflake data warehouse from scratch, modeling 20+ tables in a star schema with hundreds of thousands of records
Implemented SQL pipelines, views, scheduled tasks, and role-based access control, delivering secure, reusable analytics datasets
Supported recurring analytical workloads adopted across multiple semesters by faculty and external consulting partners

etl pipeliningSnowflakeData Engineering

Cognizant

2 roles

Programmer Analyst Trainee

Sep 2022 – Jun 2024 · 1 yr 9 mos · Bengaluru · Hybrid

Performed ETL validation and data quality testing for enterprise reinsurance systems processing millions of records with complex SQL queries, joins, views, and stored procedures on Oracle Database
Automated data validation workflows deploying Python scripts and SQL stored procedures, reducing manual testing effort by 50% and improving test coverage across 15+ critical data pipelines

SQLAdvanced query toolData Quality Testing

Intern

Dec 2021 – Jun 2022 · 6 mos · Bengaluru · Remote

Executed manual ETL validation and data quality checks on Oracle Database using SQL queries and joins via AQT, supporting enterprise reinsurance data pipelines
Gained hands-on experience with stored procedures and views, laying groundwork for full-time contributions to critical data workflows

Itc limited

Summer Intern

Jun 2021 – Aug 2021 · 2 mos · Bengaluru · On-site

Analysed 1M+ records of end-to-end tobacco production data (raw material intake to packaging) using Python and Excel DAX, identifying bottlenecks across processing stages
Built SARIMA time-series models to detect seasonal demand and production patterns; applied K-Means clustering to segment [plants/suppliers/SKUs] by [efficiency/quality/demand behavior], surfacing actionable operational insights
Designed and delivered an executive dashboard for director-level stakeholders to monitor production KPIs and pattern trends in real time