Data Engineer with less than a year in Python, SQL, and ETL concepts.
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 Data Engineer with a Bachelor's degree in Electronics and Communication Engineering and strong foundations in Python, SQL, and database management. Skilled in data cleaning, data transformation, data analysis, and ETL concepts. Passionate about building scalable data solutions and transforming raw data into meaningful insights. Seeking an entry-level Data Engineer opportunity.
Saranathan College of Engineering
Bachelor of Engineering · Electronics and Communication Engineering
August 1, 2019 – June 30, 2023
MUSCAT ENGINEERING CONSULTANCY
Trainee Engineer – C & A
January 1, 2023 – January 1, 2024
India
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Python, Pandas, MySQL Extracted sales data from CSV files. Performed data cleaning and transformation using Pandas. Loaded transformed data into MySQL. Automated reporting and validation processes.
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Technologies: MySQL Designed a normalized relational database. Developed SQL queries for event and player management. Implemented joins, triggers, views, and stored procedures. Generated reports for sponsorship and finance tracking.
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January 1, 2025 – June 1, 2026
Technologies: Python, MySQL Developed a database-driven application for order management. Automated inventory tracking and customer records. Implemented CRUD operations and reporting features.
Microsoft Azure Data Fundamentals (DP-900)
Microsoft
June 1, 2026 – Present
IBM Data Engineering Foundations
IBM
June 1, 2026 – Present
Full Stack Developer (Python)
Besant Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on data management and processing, which aligns with the target role of Data Engineer. The pursuit of multiple data engineering certifications (IBM, Azure) demonstrates initiative and a strong interest in the field. However, the projects are all academic, and the professional experience is not directly in data engineering, which limits the assessment of real-world cultural fit and adaptability in a professional data engineering team.
Soft Skills & Operational Fit
The candidate's internship involved collaboration with cross-functional teams and maintaining data accuracy, suggesting an ability to work in a team and attention to detail. The project descriptions are clear, indicating good communication skills in a technical context. However, the internship role as 'Trainee Engineer – C & A' is not directly aligned with data engineering, and the description lacks specific data engineering responsibilities, making it difficult to assess operational fit for a dedicated data engineering role.