Manan Pranav Desai

Data Engineer

Rutgers University

Jan 2026 - Current (8 months)

• Architected and deployed automated Python/SQL backend pipelines using dbt and Terraform to process 500,000+ records weekly in a Data Lakehouse, reducing latency by 35% while aligning technical architectures with stakeholder business requirements. • Engineered a retrieval-augmented generation (RAG) system for building GenAI Apps integrating Large Language Models (LLMs) and Vector Databases to surface relevant documentation, decreasing internal information retrieval time by 25%. • Orchestrated infrastructure as code using Terraform to manage cloud resources on GCP, ensuring 99.9% uptime for critical data services. • Developed sophisticated statistical models and executed programmatic data reviews, generating actionable insights that drive c

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Data Engineer / Analysis Assistant

Quest Global CTO

Jan 2025 - Dec 2025 (1 year)

• Optimized Python scripts and Apache Airflow DAGs to automate complex data sanitization processes, reducing manual engineering effort by 60% and saving 20+ hours of manual labor weekly. • Collaborated with cross-functional teams of data scientists and analysts to optimize data delivery pipelines, accelerating the deployment of predictive models and improving downstream analytical accuracy. • Constructed a Data Lakehouse architecture using Snowflake to unify batch and streaming data, ensuring high availability and structural integrity for datasets exceeding 1 million records. • Streamlined reporting workflows by engineering custom automation solutions and dbt models, cutting processing time by 40% and increasing data reliability across mult

Business Intelligence Engineer Intern

youbloom

May 2024 - Dec 2024 (8 months)

• Integrated robust SQL extraction scripts into automated data workflows, slashing daily reporting execution time from 8 hours to under 2 hours. • Executed over 150 A/B test experiments and implemented technical tracking, driving a 20% increase in user conversion rates through data-backed engineering strategies. • Designed 15+ interactive BI dashboards to translate complex backend data into accessible insights, improving decision-making speed for over 200 cross-functional stakeholders.

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Data Engineer

Nintee

Oct 2022 - May 2023 (8 months)

• Built scalable ETL pipelines leveraging Python, PySpark, and Kafka to process 2TB+ of healthcare data, mentoring junior members on lineage best practices to improve onboarding efficiency. • Enhanced distributed computing techniques and query logic to improve overall data processing speeds by 40% and reduce analytics latency. • Produced interactive Full Stack data visualizations utilizing D3.js to render real-time patient metrics, facilitating improved cross-collaboration across clinical and technical teams. • Conducted rigorous system audits to ensure 100% adherence to HIPAA data security regulations, reducing compliance vulnerabilities by 30%.

Machine Learning Intern

IBM

Jul 2022 - Sep 2022 (3 months)

• Directed a 3-person engineering team to architect and deploy a robust SQL-based ETL pipeline within a Snowflake cloud data warehouse environment. • Refined database architecture and query logic, enhancing overall data processing efficiency by 40% and reducing complex query runtimes by 25%. • Formulated comprehensive data models to monitor 50+ key performance indicators, enabling real-time system monitoring and accelerating leadership decision-making by 35%.

Manan Pranav Desai

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