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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
Results-driven SDE Intern and Software Development Intern with 1.3 years of experience in Python, SQL, and data analysis. Proven ability to develop automation scripts, build data pipelines, and create interactive dashboards for business insights. Eager to apply skills in ETL, data visualization, and database management to drive operational efficiency and data-driven decision-making.
MGM University (JNEC)
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Ryan International School (ICSE)
Secondary Schooling
N/A – May 31, 2020
Yardi Software Pvt. Ltd.
SDE Intern
January 1, 2026 – June 1, 2026
Pune, Maharashtra, India
VDAKPO - CA Firm
Software Development Intern
March 1, 2025 – November 1, 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 and internships show a focus on data-centric roles and applications, aligning well with a Data Engineer target role. The diversity in projects (job market analysis, logistics, financial analytics) indicates adaptability and a broad interest in applying data engineering principles across different domains. The academic background in Computer Science Engineering further supports a foundational fit for technical roles.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems, design solutions, and implement them. The internship experiences suggest an operational fit for roles requiring data processing, validation, and reporting. However, specific soft skills like teamwork, problem-solving approach, or communication in a team setting are not explicitly detailed in the provided data.