Noor Jindal
@noorjindal
I build scalable data pipelines, backend APIs, and analytics systems that improve decisions.
What I'm looking for
At National Instruments (Emerson), I built Python ETL-style workflows for 200K+ pipeline-generated records, reducing manual effort by 98% and improving reporting efficiency by 95%.
I've developed data ingestion utilities, analytics workflows, and automation pipelines for structured and semi-structured data. I also refined GitHub Actions by automating GitHub–Azure DevOps issue synchronization and modernizing workflows.
Through projects in SQL performance analytics, e-commerce fraud monitoring, and AI-based exam proctoring, I build FastAPI services, data-processing systems, dashboards, and computer-vision workflows that support operational decision-making.
Experience
Work history, roles, and key accomplishments
Software Engineering Intern
National Instruments (Emerson)
Jul 2025 - Jul 2026 (1 year)
Built scalable ETL-style data-processing workflows using Python to automate transformation and reporting for 200K+ pipeline-generated records, reducing manual effort by 98% and improving reporting efficiency by 95%. Collaborated with engineering teams to develop automated data-processing pipelines and refined GitHub Actions workflows for issue synchronization.
Education
Degrees, certifications, and relevant coursework
The National Institute of Engineering, Mysuru
Bachelor of Engineering, Information Science & Engineering
Grade: 8.2/10
Pursuing a Bachelor of Engineering in Information Science & Engineering with a GPA of 8.2/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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