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Tanzeel Khan

@tanzeelkhan

Data Engineer at Accenture building Azure data pipelines and a vulnerability dashboard that saves teams about 10 hours of manual work each week.

India

Message

At Accenture, I design and support end-to-end data engineering solutions for a Shell PLC client, using Azure services, Python, and SQL. My work includes production data pipelines that process approximately 50K SQL records daily.

I developed a Vulnerability Dashboard that automated a manual reporting workflow and reduced manual effort across teams by approximately 10 hours per week. The workflow moves SharePoint data through staging, curated, and historical layers to Power BI reporting.

I also develop Power BI dashboards used by approximately 50–60 stakeholders, using DAX, Power Query, and data modelling to support business reporting. I support deployment, monitoring, troubleshooting, and production operations for data pipelines and reporting solutions.

Earlier, I worked on facial emotion recognition during a research internship at IIIT Prayagraj, and developed functionality for an e-commerce website as a Full Stack Developer. I also built projects including a face-recognition attendance system and an image caption generator.

Experience

Work history, roles, and key accomplishments

Current

Advanced Associate Software Engineer

Current

Accenture

Oct 2024 - Present (2 years)

Design, develop, and maintain end-to-end data engineering solutions using Azure Data Factory, Azure Databricks, Python, PySpark, SQL, Azure Functions, and Logic Apps. Develop and maintain 5 production data pipelines and 5 Power BI dashboards used by 50-60 stakeholders.

Full Stack Developer

Internship

Jul 2023 - Nov 2023 (4 months)

Developed and maintained new functionality and pages for an e-commerce website using HTML, CSS, JavaScript, and PHP. Worked across front-end and back-end components to implement application features and improve website functionality.

HTML CSS JavaScript PHP Frontend Development Backend Development

Research Intern

IIIT Prayagraj

Jul 2022 - Jan 2023 (6 months)

Worked on Facial Emotion Recognition using Deep Learning under the guidance of Dr. Ramesh Kumar Bhukya. Developed and evaluated a deep-learning-based solution for classifying human emotions from facial features.

Deep Learning Face Emotion Recognition Python OpenCV