Open to opportunities

Sanjana Naik

@sanjananaik1

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Data engineer skilled in Python, PySpark, Azure, and production-ready API development.

India

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What I'm looking for

I seek a hands-on data engineering role where I can build scalable pipelines, deploy APIs, and improve data accessibility while working in a collaborative, growth-oriented team.

I am a skilled Data Engineer who turns complex data into simple, actionable insights, with hands-on experience in Python, PySpark, Databricks, Azure, and Power BI. I have migrated SQL procedures to PySpark, automated Databricks notebook workflows, built Streamlit portals to load Excel into Azure SQL, and developed production-grade APIs that generate personalized customer offers.

I deliver end-to-end data solutions including API design and deployment, workflow architecture, and Power BI monitoring dashboards. I combine technical rigor with production support experience and a collaborative, problem-solving approach to build scalable pipelines and reduce incident resolution time.

Experience

Work history, roles, and key accomplishments

Data Engineering Intern

Mahindra Finance

Feb 2025 - Oct 2025 (8 months)

Migrated SQL stored procedures to PySpark and automated Databricks notebook workflows to produce RCA outputs, reducing manual intervention; developed Streamlit portal to upload Excel to Azure SQL and deployed APIs for personalized offers and score prediction to improve incident resolution time.

Pyspark Databricks Python Azure SQL Streamlit API Development Power BI

Web Developer

RBT Algorithm System

Jun 2024 - Jan 2025 (7 months)

Redesigned company website using Bootstrap, HTML, and CSS to improve UX, integrated JavaScript for dynamic features and authentication, and contributed to a Django-based trader site while managing deployments via FileZilla.

HTML CSS Bootstrap JavaScript Python Django

Education

Degrees, certifications, and relevant coursework

Itvedant Education Pvt. Ltd.

Master of Science, Data Software Engineering

Completed a Master’s in Data Software Engineering with coursework and projects focused on data engineering, pipeline design, and cloud-based data solutions.