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Divyansh Garg

@divyanshgarg

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Aspiring data engineer passionate about building efficient data pipelines.

India

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What I'm looking for

I am seeking a role that fosters growth, encourages innovation, and allows me to leverage my data engineering skills to solve complex problems.

I'm Divyansh Garg, a dedicated Data Engineering Intern at Cimpress, where I am actively involved in optimizing data pipelines using tools like DBT, Airflow, and Snowflake. My role in the Manufacturing Analytics team has allowed me to enhance data pipeline tasks, manage environment-specific warehouses, and build insightful Looker dashboards that support critical business decisions.

With a strong foundation in Mathematics and Data Science from the National Institute of Technology Bhopal, I have developed several projects, including a Spam SMS Classification System and a Movie Recommendation System, utilizing machine learning algorithms to deliver impactful solutions. My technical expertise spans programming languages such as Python and SQL, alongside proficiency in data science tools like Pandas and Scikit-learn.

Experience

Work history, roles, and key accomplishments

Current

Data Engineering Intern

Current

Cimpress (Vista)

Jan 2025 - Present (5 months)

Working with DBT, Airflow, Snowflake, Looker, and GitLab in the Manufacturing Analytics team of BPMA domain to build and optimize data pipelines. Worked on data pipeline enhancement tasks such as modifying table schemas, transforming time formats, managing environment-specific warehouses, updating data sources, and maintaining DBT models. Building Looker dashboards and visualizations to support bu

DBT Apache Airflow Snowflake Looker Gitlab SQL Python CI CD

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Bhopal

Bachelor of Technology, Mathematics and Data Science

Grade: 8.85 CGPA

Pursued a Bachelor of Technology degree with a specialization in Mathematics and Data Science. Focused on core concepts and applications in data science, including machine learning and data analysis.