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Data Engineer with less than a year in AWS, ETL, and AI/ML.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A passionate Data Engineering and Data Science enthusiast with hands-on experience in AWS data services. Skilled in building ETL pipelines, data transformation workflows, and predictive models using Python, SQL, and machine learning techniques. Adept at integrating analytics solutions for data-driven decision-making, performance optimization, and business intelligence in dynamic environments.
SASTRA Deemed to be University
Masters · Data Science
August 1, 2023 – June 30, 2025
SASTRA Deemed to be University
Bachelors · Computer Science
August 1, 2020 – June 30, 2023
Onward Technologies
Data Engineering Intern
November 1, 2025 – Present
India
Engineering Drawing Intelligence Extraction System
April 1, 2026 – April 1, 2026
Developed an AI-powered system to automatically extract dimensions, GD&T annotations, hole specifications, radii, datums, and title block information from engineering drawings. Integrated Ollama-based LLMs with image preprocessing techniques to improve extraction accuracy from technical drawings. Built a multi-stage parsing and validation pipeline to structure engineering data into JSON reports and consolidated summaries.
Recruitment Analytics and Database Management System
January 1, 2026 – January 1, 2026
Managed recruitment data using PostgreSQL and NocoDB, maintaining demand, sourcing, and candidate selection records. Analyzed hiring data using SQL to generate insights and support recruitment planning and decision-making. Built interactive Metabase dashboards to track demand status, sourcing performance, and recruitment metrics.
Automated ETL Pipeline Using AWS Glue, Lambda, and S3
October 1, 2025 – October 1, 2025
Built an automated ETL pipeline to process daily telemetry sensor data uploaded to Amazon S3. Used AWS Lambda to trigger AWS Glue jobs for data cleaning, transformation, and schema mapping. Stored processed data in S3 and queried it using Amazon Athena for daily analysis. Created dashboards in Amazon QuickSight to visualize sensor trends and support reporting with minimal manual effort..
AWS re/Start Graduate
AWS
June 1, 2026 – Present
Business Intelligence and Analytics
NPTEL, IIT Madras
June 1, 2026 – Present
Python for Data Science
Coursera
June 1, 2026 – Present
Oracle Certified GenAI Professional
Oracle University
June 1, 2026 – Present
AWS Certified Cloud Practitioner Foundational
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in data engineering and data science, aligning well with a data-driven culture. The projects showcase a proactive approach to problem-solving and an ability to work with various technologies, indicating a potential for continuous learning and contribution. However, the psychometric test score suggests that aspects related to work attitude, stress handling, or team collaboration might need further exploration during interviews to ensure a strong cultural fit.
Soft Skills & Operational Fit
The candidate's psychometric test score (296/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. While the English test score (61/100) indicates room for improvement in communication clarity and professional language, the project descriptions are reasonably clear. The candidate's experience in diverse projects (ETL, recruitment analytics, AI-powered extraction) shows adaptability and a willingness to tackle varied challenges, which is positive for operational fit.