Open to Work

Local Time

20:28:20

Open to Work

Local Time

20:28:20

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Hello I am

Nikhil Gajula

Hello! I am

Nikhil Gajula

Master's in Business Analytics and AI student and a Data Engineer with three plus years of experience in big data technologies, Azure Cloud, and ETL pipelines. Skilled in Python, SQL, and Power BI for data solutions and reporting. Experienced working on complex projects and in fast-paced environments.

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Years of Experience

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Tools & Technologies Mastered

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Licenses & Certifications

Professional Experience

Blending technical expertise with business insights for smarter solutions

Professional Experience

Blending technical expertise with business insights for smarter solutions

Professional Experience

Blending technical expertise with business insights for smarter solutions

Professional Experience

Blending technical expertise with business insights for smarter solutions

Information Technology

Aug 2022 - July 2025

Aug 2022 - July 2025

Software Data Engineer 2

• Optimized Power BI semantic models and dashboards performance by applying table partitioning and aggregation strategies, cutting visual/page load time by 40%
• Built automated ingestion validation tests to detect anomalies prior to consumption, ensuring 100% data accuracy
• Accomplished a 60% reduction in manual deployment effort: managed PRs, reviewed code, and automated releases using Azure DevOps CI/CD pipelines

• Optimized Power BI semantic models and dashboards performance by applying table partitioning and aggregation strategies, cutting visual/page load time by 40%
• Built automated ingestion validation tests to detect anomalies prior to consumption, ensuring 100% data accuracy
• Accomplished a 60% reduction in manual deployment effort: managed PRs, reviewed code, and automated releases using Azure DevOps CI/CD pipelines

• Optimized Power BI semantic models and dashboards performance by applying table partitioning and aggregation strategies, cutting visual/page load time by 40%
• Built automated ingestion validation tests to detect anomalies prior to consumption, ensuring 100% data accuracy
• Accomplished a 60% reduction in manual deployment effort: managed PRs, reviewed code, and automated releases using Azure DevOps CI/CD pipelines

Software Data Engineer 1

• Developed 8+ Power BI semantic models and 25+ interactive reports to centralize KPIs and enable self-service analytics, reducing ad-hoc reporting requests by 35%
• Implemented, and maintained 50+ Azure Data Factory pipelines, automating ingestion and orchestration across multiple business teams, streamlining workflows by 95%
• Achieved 95% on-time delivery of stakeholder requests by leading client projects and resolving ad-hoc priorities using SQL, Python, Excel, and Power BI
• Engineered a SQL + Python data-mart solutions in Databricks, achieving seamless extraction and publishing to ADLS, boosting data availability by 40% for downstream users
• Executed agile projects, actively engaged in planning and retrospectives, leading to a 20% rise in team productivity

• Developed 8+ Power BI semantic models and 25+ interactive reports to centralize KPIs and enable self-service analytics, reducing ad-hoc reporting requests by 35%
• Implemented, and maintained 50+ Azure Data Factory pipelines, automating ingestion and orchestration across multiple business teams, streamlining workflows by 95%
• Achieved 95% on-time delivery of stakeholder requests by leading client projects and resolving ad-hoc priorities using SQL, Python, Excel, and Power BI
• Engineered a SQL + Python data-mart solutions in Databricks, achieving seamless extraction and publishing to ADLS, boosting data availability by 40% for downstream users
• Executed agile projects, actively engaged in planning and retrospectives, leading to a 20% rise in team productivity

• Developed 8+ Power BI semantic models and 25+ interactive reports to centralize KPIs and enable self-service analytics, reducing ad-hoc reporting requests by 35%
• Implemented, and maintained 50+ Azure Data Factory pipelines, automating ingestion and orchestration across multiple business teams, streamlining workflows by 95%
• Achieved 95% on-time delivery of stakeholder requests by leading client projects and resolving ad-hoc priorities using SQL, Python, Excel, and Power BI
• Engineered a SQL + Python data-mart solutions in Databricks, achieving seamless extraction and publishing to ADLS, boosting data availability by 40% for downstream users
• Executed agile projects, actively engaged in planning and retrospectives, leading to a 20% rise in team productivity

Information Technology

Feb 2022 -May 2022

Feb 2022 -May 2022

Intern - MEAN Stack

• Created a food ordering web application utilizing Angular and Node.js and collaborated with peers to test web applications, debugging bugs and improving quality by 35%

• Created a food ordering web application utilizing Angular and Node.js and collaborated with peers to test web applications, debugging bugs and improving quality by 35%

• Created a food ordering web application utilizing Angular and Node.js and collaborated with peers to test web applications, debugging bugs and improving quality by 35%

Soft Skills

Volunteer Experience

Driving engagement through design, data, and collaboration

Oct 2025 - Present

Oct 2025 - Present

Marketing Officer

• Created eye-catching posters, and marketing campaigns for hackathons and club initiatives, boosting event registrations by 35%

• Created eye-catching posters, and marketing campaigns for hackathons and club initiatives, boosting event registrations by 35%

• Created eye-catching posters, and marketing campaigns for hackathons and club initiatives, boosting event registrations by 35%

(TSA) Telugu Student Association UTD

Sep 2025 - Present

Sep 2025 - Present

Treasury Officer

• Built automated Google Sheets dashboards to track expenses, donations, reducing manual effort by 50%
• Oversaw event budgets, and sponsor engagement for cultural events, maintaining 100% financial accountability

• Built automated Google Sheets dashboards to track expenses, donations, reducing manual effort by 50%
• Oversaw event budgets, and sponsor engagement for cultural events, maintaining 100% financial accountability

• Built automated Google Sheets dashboards to track expenses, donations, reducing manual effort by 50%
• Oversaw event budgets, and sponsor engagement for cultural events, maintaining 100% financial accountability

Feb 2022 -May 2022

Feb 2022 -May 2022

Graphic Designer

• Designed 8+ event posters and digital content, increasing online engagement on Instagram & LinkedIn
• Promoted social initiatives such as COVID-19 safety measures through digital campaigns, expanded reach

• Designed 8+ event posters and digital content, increasing online engagement on Instagram & LinkedIn
• Promoted social initiatives such as COVID-19 safety measures through digital campaigns, expanded reach

• Designed 8+ event posters and digital content, increasing online engagement on Instagram & LinkedIn
• Promoted social initiatives such as COVID-19 safety measures through digital campaigns, expanded reach

My Skills

Empowering innovation with a diverse set of technical skills and tools.

My Skills

Empowering innovation with a diverse set of technical skills and tools.

My Skills

Empowering innovation with a diverse set of technical skills and tools.

My Skills

Empowering innovation with a diverse set of technical skills and tools.

My Projects

Explore a collection of my most impactful and data-driven projects.

My Projects

Explore a collection of my most impactful and data-driven projects.

My Projects

Explore a collection of my most impactful and data-driven projects.

My Projects

Explore a collection of my most impactful and data-driven projects.

Project One

Business Analytics

Big Data

Open

Project One Description

Project One

Business Analytics

Big Data

Open

Project One Description

Project One

Business Analytics

Big Data

Open

Project One Description

Project Two

Data Science

Machine Learning

AI

Project Two Description

Project Two

Data Science

Machine Learning

AI

Project Two Description

Project Two

Data Science

Machine Learning

AI

Project Two Description

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