Devansh Mittal

Data Engineer with hands-on experience designing metadata-driven ETL pipelines on Azure Databricks using PySpark and Delta Lake. Built reusable ingestion frameworks, automated CI/CD deployments using Azure DevOps, and data quality validation systems for enterprise-scale data platforms.

Data Engineering Intern - MathCo (The Math Company)

(2026-02 - 2026-07)

• Developed metadata-driven data pipelines using PySpark, Azure Databricks, and Delta Lake to ingest and process data from multiple sources within a Medallion Architecture (Landing → Raw → Raw Trusted), enabling reliable, zero-code onboarding for new data sources with Delta Lake ACID guarantees.
• Built a plugin-based data quality framework running 8 automated checks (row count, schema comparison, primary key integrity, duplicates, null analysis, numeric statistics, freshness, value distribution) across staging vs. raw-trusted layers, generating auto-formatted validation reports for stakeholder review.
• Implemented and enhanced Azure DevOps CI/CD pipelines and Databricks Workflows for automated deployment and orchestration, reducing manual effort in pipeline onboarding and maintenance.

Bachelor of Engineering - Computer Engineering - Chitkara University (2022 - 2026)

CBSE - Science - D.A.V Senior Secondary School, Nabha

ICSE - The Punjab Public School, Nabha