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💼 Data Engineer | Highly skilled Data Engineer with a strong background in ETL, data warehousing, and cloud computing. Proficient in SQL, Python, and Azure.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
💼 Aspiring Azure Data Engineer | ☁️ Passionate about Cloud Data Solutions | 🛠️ Learning Azure Data Factory, Synapse, SQL, and Data Lake | 📊 Building projects to bridge raw data and insights | 📚 Lifelong learner on a journey to master data engineering in the cloud
Jawaharlal Nehru Technological University
Bachelor's degree, Computer Science
November 1, 2021 – June 1, 2025
Cognifyz Technologies
Data Engineering Intern
November 1, 2025 – January 1, 2026
Remote Work · Remote
OctaNet Services Pvt Ltd.
Python Developer
October 1, 2024 – November 1, 2024
Remote
BLOOD BANK MANAGEMENT SYSTEM
December 1, 2024 – May 1, 2025
Designed database schema and developed backend APIs for donor and inventory management. Built responsive frontend interfaces for blood request and donation workflows. Integrated CRUD operations for real-time updates of blood stock levels.
Academy Academy Accreditation - Generative AI Fundamentals
Databricks Academy
June 23, 2026 – Present
Northstar - Snowflake Intelligence
Snowflake
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project and internship experiences show an interest in data-related roles (Data Engineering Intern, Analytics Engineer target role). However, the overall experience level is very low (0 years), and the projects are basic, which might not align with the expectations for a senior Analytics Engineer role. The certifications indicate a proactive learning attitude, which is a positive cultural trait.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, offering no insights.