Headline

Data Engineer | Azure Databricks | PySpark | SQL | Databricks Certified DE Associate | Open to Work | Kiit ’26

About

Recent BTech (IT) graduate from KIIT DU (CGPA: 8.8) with hands-on experience in building production-grade data pipelines on Azure Databricks. During my internship at V4C.AI, I built an enterprise retail analytics lakehouse integrating Kafka streaming, MongoDB, and batch CSV data using the Medallion architecture with Delta Live Tables. I implemented CI/CD via GitHub Actions and Databricks Asset Bundles, enforced Unity Catalog governance with RLS/CLS, and delivered an enterprise cost report with 1/3-year TCO projections. 🏅 Databricks Certified Data Engineer Associate 💻 Tech Stack: Python | PySpark | SQL | Azure | Databricks | Kafka | MongoDB | GitHub Actions | Delta Lake | Unity Catalog 🔍 Actively looking for Data Engineer / Data Analyst / Junior Data Engineer / Python Developer/ BI Engineer / Analytics Engineer roles — immediate joiner! 📩 Open to opportunities — feel free to reach out: pratikagarwal1109@gmail.com

Location

Mumbai Metropolitan Region

Work experience

Data Engineer - Intern at v4c.ai, Feb 2026 - May 2026 · 4 mos, Pune District, Maharashtra, India, During my 3-month internship at V4C.AI, I worked as a Data Engineering intern where I got hands-on experience building real production-grade data pipelines on Azure Databricks. I worked on three main projects. My biggest project was building a complete data lakehouse for a retail company called Maven Market. I had to bring in data from three different sources — CSV files, MongoDB, and live Kafka streams — and process them through a Bronze, Silver, Gold Medallion architecture using Delta Live Tables. The entire codebase was config-driven with no hardcoded values, and I set up a full CI/CD pipeline using GitHub Actions and Databricks Asset Bundles so that deployments were fully automated. I also implemented data security using Unity Catalog — things like row-level and column-level security, data masking, and storing credentials in Azure Key Vault. On top of that, I built a custom Python logging framework and Databricks SQL dashboards for business and engineering teams, and delivered an enterprise cost report with 1 and 3 year projections. My second project was an internal Databricks pipeline where I ingested multiple file formats, benchmarked different optimization techniques like Liquid Clustering vs Z-Ordering, and achieved around 20–35% query performance improvement with full test coverage using pytest. My third project was a Python-based Employee Performance Tracking System where I used both SQL (SQLite) and NoSQL (MongoDB) databases together, built a CLI application with modular code, and wrote automated tests with over 80% code coverage. During the internship I also cleared the Databricks Certified Data Engineer Associate exam.

Education

Bachelor of Technology, Information Technology, KIIT - Kalinga Institute of Industrial Technology

Bachelor of Technology - BTech, Information Technology, School of Computer Engineering, KIIT DU