
Gunjan Patil
@gunjanpatil
Entry-level data engineer building Databricks and PySpark pipelines, including a 106M-trip NYC analytics platform connected to Power BI.
What I'm looking for
I built a Databricks and PySpark pipeline for the NYC HVFHV Data Engineering & Analytics Platform, processing 106M trips across five monthly datasets. I created a Bronze-Silver-Gold structure with 10 Delta tables and added automated data-quality checks.
For the Unified Analytics Pipeline for FMCG Merger Integration, I implemented a Databricks ETL workflow using PySpark and Delta Lake, integrated AWS S3, and delivered Power BI dashboards. I’m seeking an entry-level Data Engineer or Big Data Developer role.
Experience
Work history, roles, and key accomplishments
UI/UX Designer
Bhugol GIS Pvt Ltd
Dec 2024 - Aug 2025 (8 months)
Designed user-facing navigation interfaces for location-based applications, including the Mumbai Metro Line 3 Navigation App and the Ranibaug Navigation App, translating structured geospatial and route data into clear user flows. Created wireframes, prototypes, and high-fidelity UI designs, working closely with underlying data and location datasets to ensure accurate, usable navigation experiences
Education
Degrees, certifications, and relevant coursework
Centre for Development of Advanced Computing (C-DAC)
Post Graduate Certificate Programme, Big Data Analytics
2026 -
Grade: 81.42%
Post Graduate Certificate Programme in Big Data Analytics with a percentage of 81.42%, ongoing from February 2026 to August 2026.
Konkan Gyanpeeth College of Engineering
Bachelor of Engineering, Computer Engineering
2021 - 2024
Grade: CGPA: 7.57
Bachelor of Engineering in Computer Engineering with a CGPA of 7.57, from June 2021 to June 2024.
Career Credentials
Certified Python Foundations, Python
Certification in Python Foundations from Career Credentials.
HackerRank
HackerRank SQL (Basic), SQL
Certification in SQL (Basic) from HackerRank.
AWS Academy
AWS Academy Cloud Foundations, Cloud Foundations
Certification in AWS Academy Cloud Foundations.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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