Ayush Agrawal

Gurgaon

Summary

Data Engineer & Analyst with 2+ years of experience at Accenture in data visualization, automation, and process optimization. Skilled in SQL, Power BI, Python, and cloud platforms. Hands-on experience in building dashboards, ETL workflows, and optimizing reporting pipelines. Exposure to modern data engineering tools, such as Azure Data Factory (ADF), Databricks, DBT, and Data Lakehouse architecture. Strong problem solver with client-facing experience, certified in Google Cloud (ACE, Digital Leader).

Overview

years of professional experience

Certification

Work History

Data Analyst

Accenture

Gurugram

07.2023 - Current

• Automated client reporting process by integrating APIs and databases, reducing manual reporting time by 40%.
• Developed interactive dashboards and analytics solutions in Power BI and SQL, increasing client engagement rate from 27% to 50%.
• Optimized data storage and retention using SQL queries and data profiling techniques.
• Built ETL-style workflows using Google Apps Script and APIs; exposure to ADF and DBT concepts for scalable automation.
• Collaborated with stakeholders to gather requirements, clean data, and deliver accurate insights for e-commerce and e-payments clients.
• Delivered multiple end-to-end projects in Agile teams, ensuring high quality, timely delivery, and excellent client feedback.

Education

Bachelor of Technology - Computer Science And Engineering

Galgotias University

Greater Noida

06-2023

Senior Secondary - PCM + Computer

St. John's School Marhauli

Varanasi

03-2019

Skills

Programming: Python, Java
Databases: SQL, PostgreSQL, PL/SQL, NoSQL, Data Modelling, ETL, Data Profiling, Data Lakehouse (exposure)
Analytics & Visualization: Power BI, PLX Dashboards, Google Sheets, DAX

Cloud & Tools: Google Cloud, Azure Data Factory (exposure), APIs, Agile Methodology
Soft Skills: Problem Solving, Communication, Teamwork

Projects

Quick Commerce Insights (Power BI, Power Query, DAX, SQL)
• Designed a Power BI solution analyzing customer behavior, sales, delivery speed, and inventory KPIs.
• Cleaned and transformed data from multiple sources; built dynamic dashboards with slicers and DAX measures.
• Applied ETL and data modeling concepts similar to ADF/Databricks workflows to structure data for reporting.
Health Analytics Dashboard (Python, Pandas, Seaborn, Matplotlib)
• Built analytics dashboard to monitor health KPIs such as BMI, cholesterol, and blood pressure.
• Performed feature engineering, data profiling, and EDA to derive health trends and correlations.
• Created multi-plot visualizations to effectively communicate insights.