Data Engineer with less than a year in GCP & Python
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Assessing your cultural and operational fit
Highly motivated Data Engineer Intern with 5 months of hands-on experience in building GCP-based ETL pipelines, optimizing SQL queries, and processing large datasets using Databricks and PySpark. Proven ability to debug data pipeline failures, automate data workflows with Python, and integrate cloud services to manage real-time infrastructure metrics. Certified as a Databricks Associate Data Engineer, actively seeking to leverage strong skills in cloud platforms, data engineering, and AI/ML to contribute to innovative data solutions.
Sri Venkateshwaraa College of Engineering and Technology
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Sabari Vidhyashram Higher Secondary School
12th
June 1, 2019 – May 31, 2022
Decision Minds
Data Engineer Intern
February 1, 2026 – Present
Puducherry, Puducherry, India
Strataz Data Platform & ETL Analytics System
June 1, 2026 – Present
• Built an end-to-end ETL pipeline for large scale retail data ingestion and analytics. • Developed PySpark transformations in Databricks to process sales and inventory data and generate key business KPIs. • Designed PostgreSQL fact/dimension models and implemented data quality checks to support reliable reporting.
Sentra AIOps Platform – Production Support Module
February 1, 2026 – April 1, 2026
• Built multi-tenant GCP dashboards and persisted infrastructure snapshots in PostgreSQL for consistent monitoring views. • Developed FastAPI-based REST APIs with PostgreSQL upserts for reliable data management. • Integrated GCP services (Compute Engine, GKE, Cloud SQL, Storage, Monitoring) to surface real-time infrastructure metrics.
Speaker, Claude Code Event by Vikram Pawar - Presented AI pipeline architecture and data engineering projects
Claude Code
June 1, 2026 – Present
Claude Code Architect Foundations Certification
Claude Code
June 1, 2026 – Present
Databricks Certified Associate Data Engineer
Databricks
January 1, 2026 – January 1, 2028
Data Analytics & Visualization with Python
MSME
January 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a data engineering role through a clear focus on data-centric projects and relevant technical skills. The diversity of projects (retail data, AIOps platform) and exposure to different cloud environments (GCP, AWS) indicate adaptability and a willingness to learn new technologies. The certifications and participation in events like 'Claude Code' suggest a proactive learning attitude and engagement with the tech community, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight problem-solving skills (debugging pipeline failures), attention to detail (data quality checks), and a proactive approach to automation (Python scripts). The speaker certification suggests good presentation and communication skills, which are valuable for operational roles and team collaboration. The academic and professional projects indicate an ability to work on diverse tasks and integrate various technologies.