Tanuj Amol Burse

Data Engineer

https://www.opentalent.in/tanuj-amol-burse

Data Engineer with less than a year in Python, SQL, AWS & Power BI.

Key Strengths

Demonstrated interest in Data Engineering and Data Analysis through project objectives.
Experience with AWS services (EC2, S3, Route 53, CloudWatch) for deployment and monitoring.
Familiarity with SQL and MySQL for database management.
Exposure to data visualization tools like Power BI and Excel.
Basic understanding of CI/CD concepts with Jenkins and Git.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic and personal, indicating a foundational understanding of various technologies. The 'Healthcare Data Visualization Dashboard' project aligns well with data-driven roles. However, the overall project diversity is limited to web development and basic data visualization, with no direct experience in large-scale data pipelines, distributed systems, or advanced data warehousing, which are typical for a senior Data Engineer. The candidate is still pursuing a Bachelor's degree, which suggests an entry-level profile rather than a senior one. This creates a significant gap in cultural fit for a senior Data Engineer role.

Soft Skills & Operational Fit

The candidate lists teamwork, communication, leadership, presentation, and English proficiency as soft skills. However, without specific examples or interview data, it's difficult to assess the depth of these skills or their operational fit. The project descriptions are clear but lack detail on challenges faced or specific contributions, which limits the assessment of problem-solving and collaboration in a team setting.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

My passion for understanding how data drives decisions and growth has led me to pursue a specialization in Artificial Intelligence and Machine Learning. Through internships and personal projects, I've gained hands-on experience in data driven application development, visualization, and backend logic. My goal is to apply my skills as a Data Analyst or Data Engineer to help organizations make smart-based decisions.

Top Skills

PythonSQLJavaRest Apis

Education

Bachelor of Engineering – Computer Engineering

Bachelor of Engineering · Computer Engineering

August 1, 2022 – June 30, 2025

M.J.P.V. JUNIOR COLLEGE

12th Grade

June 1, 2022 – May 31, 2022

A.B.M. ENGLISH HIGH SCHOOL

10th Grade

June 1, 2020 – May 31, 2020

Projects

Hotel Rental System

June 18, 2026 – Present

Designed and implemented a system to manage hotel room bookings and rentals. Enabled users to check room availability, make reservations, and manage bookings. Integrated payment module and automated invoice generation.

Daily Expense Tracker

June 18, 2026 – Present

Built a personal finance application to track daily expenses and generate reports. Implemented category-based expense logging and monthly budget summaries. Provided visual analytics with charts for spending patterns.

Online Exam Portal

June 18, 2026 – Present

Developed a platform to conduct online exams with automated evaluation. Enabled question bank management, timed tests, and instant result generation. Integrated secure login and role-based access for students and administrators.

Website Deployment using AWS Tools

June 18, 2026 – Present

Deployed a web application on AWS for scalability and high availability. Configured EC2 instances, S3 storage, and Route 53 for DNS management. Automated deployment using CI/CD pipeline and monitored performance via CloudWatch.

Healthcare Data Visualization Dashboard

June 18, 2026 – Present

Developed an interactive dashboard to analyze hospital data for improved decision-making. Visualized patient admissions, discharge rates, and treatment outcomes by department and age group. Enabled real-time filtering for hospital, diagnosis type, and region. Supported administrators in identifying operational bottlenecks and optimizing resource allocation.

Key Strengths

Demonstrated interest in Data Engineering and Data Analysis through project objectives.
Experience with AWS services (EC2, S3, Route 53, CloudWatch) for deployment and monitoring.
Familiarity with SQL and MySQL for database management.
Exposure to data visualization tools like Power BI and Excel.
Basic understanding of CI/CD concepts with Jenkins and Git.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit