I'm Nandini, a data-focused professional with a Master of Science in Data Science and Applications. I design and implement Azure-based data pipelines, build scalable ETL frameworks, and enable AI/ML initiatives through clean, well-documented data architectures. I enjoy collaborating with cross-functional teams to turn complex datasets into actionable insights, deliver reliable dashboards, and drive data-driven decisions. I'm open to new opportunities and relocating to Raleigh, NC to contribute to innovative data solutions.

Nandini Ethirajulu

I'm Nandini, a data-focused professional with a Master of Science in Data Science and Applications. I design and implement Azure-based data pipelines, build scalable ETL frameworks, and enable AI/ML initiatives through clean, well-documented data architectures. I enjoy collaborating with cross-functional teams to turn complex datasets into actionable insights, deliver reliable dashboards, and drive data-driven decisions. I'm open to new opportunities and relocating to Raleigh, NC to contribute to innovative data solutions.

Available to hire

I’m Nandini, a data-focused professional with a Master of Science in Data Science and Applications. I design and implement Azure-based data pipelines, build scalable ETL frameworks, and enable AI/ML initiatives through clean, well-documented data architectures.

I enjoy collaborating with cross-functional teams to turn complex datasets into actionable insights, deliver reliable dashboards, and drive data-driven decisions. I’m open to new opportunities and relocating to Raleigh, NC to contribute to innovative data solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Data Engineer at Community Dreams Foundation
May 1, 2025 - November 4, 2025
Supported the implementation of Azure-based data pipelines and models using ADF, Databricks, and Azure SQL, integrating datasets from multiple sources to improve data accessibility and analytics capability. Assisted in optimizing ETL workflows and building data structures to support AI/ML initiatives and performance monitoring, ensuring reliable, well-documented, and scalable data processes.
Data Engineer at Local Grown Salads
April 1, 2025 - April 1, 2025
Performed database mapping between Odoo MRP/ERP and PostgreSQL, using Python to automate data integration for customer information, farming formulas, and operational details. Collaborated with 5+ cross-functional teams to update and store customer-specific data, manage work orders, and streamline data flows based on business requirements. Supported recall functionality by developing Python scripts and database queries to fetch product manufacturing and delivery details from PostgreSQL, ensuring traceability and compliance.
Data Analyst at Deloitte Consulting
July 1, 2023 - July 1, 2023
Designed and optimized 300+ SSIS ETL workflows to extract, transform, and load high-volume data into a data warehouse, supporting business intelligence reporting for Tennessee State's Benefits System. Developed a master ETL orchestration framework, enabling automated execution, logging, and error handling, reducing ETL downtime by 90% and improving data pipeline efficiency. Wrote complex SQL queries, stored procedures, and views in PL/SQL, leveraging CTEs, partitioning, and indexing to process 200+ business-critical reports with enhanced performance. Applied data modeling best practices to design fact and dimension tables, supporting Tableau dashboards that provided real-time insights into transactional, eligibility, and benefit issuance data. Created federal compliance reports in fixed-length CSV format, integrating business logic to provide structured data submissions to the Administration for Children and Families (ACF). Enhanced ETL performance by 43% through data cleansing, redund
Associate Analyst at Deloitte Consulting
May 1, 2021 - May 1, 2021
Extracted, transformed, and standardized multi-source datasets for a Legacy System Conversion initiative for the State of Connecticut, ensuring 98% data accuracy and alignment with business intelligence requirements. Improved ETL efficiency by refining SSIS workflows and SQL-based transformations, reducing processing time by 50% and ensuring near-zero data loss. Migrated cleansed and structured data into target systems using Salesforce’s Bulk API, enhancing data accessibility, downstream analytics, and compliance reporting. Led UAT, system validation, and data reconciliation, ensuring migrated data maintained its accuracy, consistency, and traceability across business operations and BI reports.

Education

Master of Science – Data Science and Applications at University at Buffalo, The State University of New York
January 11, 2030 - November 4, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services