Neha Ann Nainan

Neha Ann Nainan

Software Engineer Intern @ InstaLILY AI

About

Software Engineer with experience in cloud migration, data automation, and machine learning. Proven track record in optimizing workflows, reducing failures, and enhancing operational efficiency. Strong collaborator with a passion for leveraging technology to solve real-world problems.

Country

United States

City

Brooklyn

Industry

Computer Software

Skill

Azure Databricks, Azure Data Factory, Python (Programming Language), Microsoft Azure, PySpark, Cloud Computing, Data Engineering

Experience

InstaLILY AI

Software Engineer Intern

InstaLILY AI

LinkedIn
2026-2 - 2026-5 · 4 mos
New York University

Business Analyst Intern

New York University

LinkedIn
2025-5 - 2026-5 · 1 yr 1 mo

Department : NYU IT Designed and built interactive Tableau dashboards to support a university-wide stakeholder management initiative, aligning with FY25 ISG goals on Partnerships. Automated data workflows using Python, Pandas, and NumPy to streamline ETL pipelines, which improved the accuracy and speed of weekly expenditure reports. Collaborated with cross-functional teams to enhance data governance and optimize data collection, supporting NYU's business relationship management model.

Accenture

Software Engineer

Accenture

LinkedIn
2022-12 - 2024-7 · 1 yr 8 mos

Implemented over 30 high-performance ETL pipelines using Azure Data Factory, processing more than 15TB of data from diverse on-premises data sources. Engineered robust data quality frameworks using custom PySpark scripts, improving data accuracy and completeness by 40%. Achieved a 65% improvement in data ingestion speeds by implementing parallel processing techniques in Azure Databricks and fine-tuning ADF pipeline concurrency

Accenture

Associate Software Engineer

Accenture

LinkedIn
2021-9 - 2022-11 · 1 yr 3 mos

Spearheaded 3 critical Proofs of Concept (POCs) comparing SAP HANA to Azure, which achieved 40% faster query performance and 3x overall execution speed. Designed and implemented an end-to-end pipeline for SMB and SFTP file ingestion in Azure Data Factory, successfully reducing data latency by 70% and data processing time by 35%

Education

New York University

New York University

LinkedIn

Computer Engineering

2024-9 - 2026-5 · 1 yr 9 mos
M.S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES, BANGALORE

M.S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES, BANGALORE

LinkedIn

Computer Science

2017-8 - 2021-6 · 3 yrs 11 mos

Neha Ann Nainan's Contact Information

Email

******@***.com

Phone

(**) *** ****

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