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Data Engineer with less than a year in Data Analysis & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm passionate about working with Java, Python, SQL, and data structures, with a strong interest in handling data, ETL processes, and building efficient data solutions. I aim to use my skills to support data-driven decisions and contribute to the company's growth and long-term success.
SRM Institute of science and Technology
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
Prince Matriculation Higher Secondary School
Computer Science · Computer science
June 1, 2019 – May 31, 2021
Bharat Sanchar Nigam Limited
Telecommunications and Network Operations Intern
October 3, 2023 – November 16, 2023
India
IoT-Based Smart Greenhouse Monitoring System using Raspberry Pi and DHT Sensors
June 28, 2026 – Present
* Developed an IoT-based greenhouse monitoring system using Raspberry Pi and DHT11/DHT12 sensors to continuously monitor temperature and humidity levels in real time. The system collects environmental data, processes it on the Raspberry Pi, and provides automated alerts and monitoring to maintain optimal growing conditions. Enabled efficient crop management by providing accurate environmental insights for better decision-making..
Revenue Analytics Pipeline using Databricks Medallion Architecture
June 28, 2026 – Present
* Designed and implemented an end-to-end data analytics pipeline in Databricks using Medallion Architecture (Bronze, Silver, Gold layers) to transform raw GAP retail data into business-ready insights. Ingested raw transactional data into the Bronze layer, performed data cleaning and standardization in the Silver layer, and created aggregated business metrics in the Gold layer to identify revenue performance across cities. Analyzed and visualized city-wise revenue trends to support managerial decision-making with reliable, structured business data..
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying new technologies (Databricks, Raspberry Pi). The diverse skill set listed, including business analysis and reporting, indicates a broad interest in data-related fields. However, the lack of professional data engineering experience means cultural fit in a fast-paced, senior data engineering environment is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver functional systems. The 'School Pupil Leader' and 'Marathon Runner' achievements suggest leadership potential, discipline, and perseverance. However, the internship experience is not directly related to data engineering, limiting insights into operational fit within a data-focused team.