Open to Work
Local Time
20:28:20
Open to Work
Local Time
20:28:20
Open to Work

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.
+
Years of Experience
+
Tools & Technologies Mastered
+
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
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
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
Quick Learning
Problem Solving
Communication
Time Management
Adaptability
Teamwork & Collaboration
Critical Thinking
Work Ethic
Volunteer Experience
Driving engagement through design, data, and collaboration
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%
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
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 Stacks
Commitment to continuously learning and adopting emerging technologies and tools.
My Stacks
Commitment to staying updated with the latest design trends and techniques.
My Stacks
Commitment to continuously learning and adopting emerging technologies and tools.
My Stacks
Commitment to staying updated with the latest design trends and techniques.
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

















