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Data Engineer with 1+ years in Python, SQL & Data Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented SDE Intern and Software Development Intern with 1.3 years of experience in developing Python-based automation, managing data pipelines, and building financial analytics applications. Proficient in Python, SQL, data analytics, and BI tools like Power BI and Tableau. Demonstrated ability to process, validate, and visualize large datasets to support business operations and derive actionable insights.
MGM University (JNEC)
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Ryan International School (ICSE)
Secondary Schooling
June 1, 2020 – May 31, 2020
Yardi Software Pvt. Ltd.
SDE Intern
January 1, 2026 – June 30, 2026
Pune, Maharashtra, India
VDAKPO - CA Firm
Software Development Intern
March 1, 2025 – November 30, 2025
Aurangabad, Maharashtra, India
Job Market Data Pipeline
June 25, 2026 – Present
• Built an end-to-end data pipeline using Python, PostgreSQL, and Apache Airflow to ingest, process, and analyze job market data. • Developed web scraping workflows using Python to extract structured and unstructured data from job portals. • Designed PostgreSQL schemas and implemented ETL processes for data cleansing, transformation, and storage. • Created Power BI dashboards to visualize hiring trends, salary insights, skill demand, and geographic job distribution.
Ezzy Logistics (SQL-Based Project)
June 25, 2026 – Present
• Designed and implemented a MySQL database system to manage logistics operations, including shipments, inventory, and delivery tracking. • Developed complex SQL queries, views, stored procedures, and triggers to automate business processes and ensure data integrity.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying diverse technologies relevant to data engineering. The 'Job Market Data Pipeline' project shows initiative in building a comprehensive solution. The 'Ezzy Logistics' project highlights database design and SQL expertise. The internships, while valuable, are still within an academic timeline. The breadth of skills (Python, SQL, various databases, BI tools, Airflow) suggests adaptability and a willingness to explore different areas, which can contribute positively to cultural fit in a dynamic team. However, the experience is primarily academic and internship-based, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data ingestion to visualization, suggesting a problem-solving mindset. The internship experiences show an aptitude for automation and data validation, which are valuable in operational settings. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.