Data Engineer with less than a year in Cloud, Data Engineering & AI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science Engineering student with hands-on experience in cloud platforms (AWS, Azure), data engineering (ETL pipelines, PySpark, Delta Lake), and AI/Security. Successfully led an IAM system development on AWS, implemented production-grade ETL pipelines using Azure Data Factory, and developed an AI-powered career intelligence platform. Proficient in Python, SQL, and various data analysis tools, with a strong foundation in problem-solving and system architecture.
Madan Mohan Malaviya University of Technology
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2026
GetPost Labs, Australia
Product Engineer Intern
May 1, 2026 – Present
Brisbane, Queensland, Australia
IIT Guwahati
Data Analytics Intern
May 1, 2025 – June 1, 2025
India
RecruitIQ – AI-Powered Career Intelligence Platform
June 1, 2026 – Present
Developed a full-stack AI-powered career intelligence platform using FastAPI (Python) and React.js with REST API integration, enabling automated resume analysis and job description matching. Integrated Claude AI (Anthropic) via OpenRouter API for natural language resume parsing, PDF text extraction, JD-to-resume match scoring, and first-person AI career advisory chat. Designed production-ready backend with Docker-compatible architecture, environment-based configuration, and automated one-click deployment scripts for local and demo environments.
View ProjectAzure Scalable Data Ingestion & Orchestration
June 1, 2026 – Present
Designed and deployed scalable ETL/ELT pipelines using Azure Data Factory (ADF) for multi-source structured data ingestion, transformation, and orchestration on ADLS Gen2. Optimized pipeline performance by 35% through partitioning strategies and incremental loading, reducing batch execution time and improving data refresh latency. Processed 1M+ records from 5+ heterogeneous sources using PySpark on Azure Databricks, implementing data validation, deduplication, and schema enforcement.
View ProjectSQLVista - Python-Based SQL Analytics Platform
June 1, 2026 – Present
Built an interactive Streamlit-based web analytics platform supporting real-time SQL query execution, database management, and structured data visualization on MySQL datasets. Implemented advanced SQL techniques including CTEs, window functions, joins, and aggregations; integrated LLM-assisted SQL generation to automate query writing and improve analytics productivity.
View ProjectDatabricks Fundamentals Accreditation
Databricks Academy
June 1, 2026 – Present
NPTEL Machine Learning certification
IIT Madras
June 1, 2026 – Present
Claude 101 Certification
Anthropic
June 1, 2026 – Present
Summer Analytics Certification
IIT Guwahati
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from SQL analytics platforms to AI-powered career intelligence and scalable data ingestion, indicates a broad interest in modern data and AI technologies. Their internships at GetPost Labs and IIT Guwahati, along with certifications from IIT Madras and Databricks, show a proactive approach to learning and professional development. The target role of Data Engineer aligns well with their demonstrated skills in ETL, cloud data platforms, SQL, and big data processing. The inclusion of AI/ML in projects also suggests an innovative mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through 500+ DSA problems and practical application in project optimizations. Their experience as a 'Team Coordinator' and involvement in industry practices like Conventional Commits, JIRA, and Confluence suggest good collaboration and operational discipline. The project descriptions are clear and highlight impactful contributions, indicating effective communication of technical work.