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PRASHANTH NAYAK

PRASHANTH NAYAK

Data Analyst | Aspiring Azure Data Engineer | SQL • Python • Power BI • Azure Data Factory • Databricks

About

Data Analyst and aspiring Azure Data Engineer with hands-on experience in SQL, Python, Power BI, and Azure Data Services. Skilled in building ETL pipelines using Azure Data Factory and Azure Databricks, performing data cleaning, transformation, and exploratory data analysis (EDA). Experienced in developing interactive dashboards and working with structured datasets to generate actionable insights. Seeking an entry-level Data Analyst or Data Engineer role to contribute to data-driven decision making in a collaborative environment

Professional Experience

Sales Data Analysis Dashboard

PROJECT EXPERIENCE

  • --Performed data cleaning and transformation using Excel and Power Query.
  • --Conducted exploratory data analysis (EDA) to identify sales trends.
  • --Built interactive Power BI dashboards with KPIs such as sales, profit, and category
  • --performance.

Skills

Programming & Query Languages: SQL
Python
Data Analysis & Visualization: Power BI (Data Modeling
DAX Basics
KPI Dashboards)
Excel (Pivot Tables
VLOOKUP
Data Cleaning)
Cloud & Data Engineering Tools: Microsoft Azure
Azure Data Factory
Azure Databricks
Azure Data Lake Storage
Data Concepts: ETL Pipelines
Data Ingestion
Data Transformation
Data Cleaning
EDA
Data Validation
Relational Databases
Data Warehousing Basics

Education

Bachelor of Commerce (B.com)

Government First Grade Degree College

-- 2025

Intermediate

Government PU College

-- 2022

10th Standard

Government High School

-- 2020

Contact

Interested in working together? Feel free to reach out.

PRASHANTH NAYAK

    PRASHANTH NAYAK — Data Analyst | Aspiring Azure Data Engineer | SQL • Python • Power BI • Azure Data Factory • Databricks | grad.jobs