
Data Engineer with less than a year in Cloud & Analytics
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.Tech student in Electronics & Computer Science with strong foundations in Python, SQL, Power BI. Hands-on experience building scalable data pipelines, performing large-scale data transformations, and extracting insights from real-world datasets on cloud platforms (Azure, AWS). Passionate about leveraging data engineering and analytical tools to uncover trends, streamline workflows, and drive data-informed business solutions.
Vidyalankar Institute of Technology, Mumbai
B.Tech · Electronics and Computer Science
August 1, 2022 – June 30, 2026
S.K Somaiya Vinay Mandir, Mumbai
Higher Secondary Certificate
June 1, 2020 – May 31, 2022
Wees English High School, Thane
Secondary School Certificate
June 1, 2019 – May 31, 2020
Vidyalankar Institute of Technology
Research Intern - Cloud Computing & Cybersecurity
October 1, 2025 – January 31, 2026
Mumbai, Maharashtra, India
Cloud Counselage
Data Analytics Intern
June 1, 2025 – September 30, 2025
Mumbai, Maharashtra, India
Study Hero: AI-Powered Learning Management System (Final Year Project)
June 1, 2025 – June 1, 2026
Developed an AI-powered data processing pipeline using Python to automatically extract text from PDF documents and generate structured learning assessments. Designed and optimized relational database schemas in MySQL to efficiently store and manage user data, course materials, and dynamic quiz results. Integrated external REST APIs (YouTube Data, Judge0) and implemented secure Role-Based Access Control (RBAC) to ensure robust and secure data flow.
Real-Time Medallion Data Pipeline for Ride Booking Analytics (Honours Capstone Project)
June 1, 2025 – June 1, 2026
Designed and developed a real-time data pipeline on cloud-based platforms to ingest, clean, and process high-velocity events for downstream analytics. Transformed raw, real-world ride-booking data using PySpark within Azure Databricks, structuring datasets into analytical tables for efficient reporting. Demonstrated strong analytical skills by utilizing Python scripting to dynamically generate SQL queries, replacing hardcoded scripts and improving data accessibility.
Geodata Processing Using Python and Machine Learning
ISRO (IIRS)
February 1, 2025 – Present
Certification Course in Data Analysis & Visualization Using Python
C-DAC ACTS, Pune
June 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a good cultural fit through diverse academic projects and internships. The projects involve real-world data (ride-booking, survey responses) and practical applications (AI-powered LMS, real-time data pipelines), indicating a proactive and problem-solving mindset. The internships in Cloud Computing & Cybersecurity and Data Analytics show a breadth of interest and a willingness to learn across different technical domains. The certifications further emphasize a commitment to continuous learning and skill development, aligning well with a dynamic work environment.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical thinking, problem-solving, communication, collaboration, adaptability, and learning agility. The psychometric test score of 370/500 suggests a reasonable work attitude and stress handling, though there's room for improvement in logical reasoning and team collaboration. The English test score of 59/100 indicates a need for improvement in communication clarity and professional language usage, which is critical for operational fit in a data analyst role requiring report generation and stakeholder communication.