Shivangi Pathak

Bengaluru

Summary

Data Engineer with over 4 years of experience in data engineering and analytics. Proficient in Power BI, SQL, and Python, with a strong track record in developing ETL pipelines and delivering actionable insights. Certified in Microsoft Azure (AZ-900) and skilled in data modeling and cloud data management. Experienced in creating interactive dashboards and collaborating with stakeholders in agile settings.

Overview

years of professional experience

Certification

Work History

Data Engineer

IBM

Bengaluru

07.2021 - Current

Designed and maintained SQL databases, and secure data migration processes during the organizational split and user migration.
Implemented data quality checks, addressing discrepancies and ensuring accuracy.
Worked in agile methodology with Jira, Confluence, and cross-functional teams.

Associate System Engineer

TCS

Hyderabad

06.2019 - 01.2020

Executed automated test scripts using Java and Selenium WebDriver to enhance testing efficiency.
Conducted regression testing and thorough troubleshooting prior to deployment.
Supported migration of SSO authentication, resolving tickets through ServiceNow.

Education

Bachelor of Engineering (B.E) - Information Technology

RGPV

Bhopal, India

05-2019

Skills

Data engineering: ETL and data pipelines
Data transformation and warehousing
Programming: SQL and Python
Pandas and NumPy
Excel

Visualization: Power BI and dashboard development
Data modeling and KPI tracking
Linux servers and database management
Agile tools: Jira and Confluence

Projects

Enterprise licensing data optimization and dashboarding

Role: Data Engineer | Organization: IBM |Duration: Jul 2021 – present

Description:

Created interactive Power BI dashboards to provide real-time visibility into licensing utilization, cost distribution, and compliance metrics
Automated reporting workflows reduce manual effort by 30% and enable business teams to make data-driven decisions
Collaborated with cross-functional stakeholders to identify KPIs, optimize licensing costs, and drive cost-saving initiatives across the organization
Ensured secure data migration and storage on Linux servers during organizational restructuring and user migration processes

Technologies used: Power BI, SQL, Python, Pandas, NumPy, Excel, Azure, Jira