Kuljot Singh Chadha
Software Programmer @Magna International
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WORK HISTORY
Software Programmer @Magna International
MI, US
Improved production line fault response time by an estimated 20% by engineering a real-time analytics platform using the Ignition SCADA system, Apache Kafka, and AWS.•Enabled self-service analytics by building the core ETL pipeline that unified data from the Shoplogix MES and on-premises Epicor ERP system into a centralized S3 data lake.•Reduced manual data entry efforts by 10+ hours per week by architecting and deploying a Python-based application on AWS that replaced the paper-based shift-handoff system.
EDUCATION
University at Buffalo
Master of Science - MS,Data Science
CodePath
Certificate in iOS Development
CodePath
Intermediate Software Engineering, Computer Science
University of Mumbai
Bachelor's degree, Information Technology
ABOUT KULJOT SINGH CHADHA
I am a data professional who thrives on bridging the gap between complex business problems and elegant, technology-driven solutions. My career has been focused on a single mission: to replace inefficient, manual processes with automated data systems that empower teams to make faster, smarter decisions.Whether it\'s architecting a real-time data pipeline in a manufacturing plant or building a fraud detection platform for a bank, I am passionate about engineering the full data lifecycle—from ingestion and transformation to analysis and visualization. I don\'t just work with data; I build the reliable platforms that make data trustworthy and accessible.My core belief is that the most powerful insights come from well-engineered systems. I enjoy mentoring others in technology and am always seeking new challenges where I can leverage data to create a tangible business impact.Core Competencies: Data Engineering: ETL/ELT Pipeline Design, Real-Time Stream Processing (Apache Kafka), Big Data Analytics (Apache Spark), ETL Orchestration (Apache Airflow), Data Warehousing (S3 Data Lakes) Business Intelligence & Analytics: Interactive Dashboard Development (Power BI, Tableau), Data Modeling, Self-Service Analytics, SQL, Business Process Automation Machine Learning & Cloud: Predictive Modeling (Python, Scikit-Learn, TensorFlow), MLOps, Containerization (Docker, Kubernetes), Cloud Architecture (AWS)
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