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Data Engineer with less than a year in Big Data, Cloud, and Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven problem solver with a CDAC PG-DBDA background, blending Big Data engineering, analytics, and cloud expertise to turn raw data into real-world impact. Built scalable pipelines on AWS, automated deployments with DevOps tools, and crafted dashboards that tell stories from data. Ready to bring the same energy to roles in Data Engineering, Analytics, Cloud Development.
Centre for Development of Advanced Computing
PG-Diploma · Big Data Analytics
N/A – June 30, 2025
Sinhgad College of Engineering ,Pune
B.E · E&TC
N/A – June 30, 2024
K.K.B Jr College, Latur
XII · Science
N/A – May 31, 2020
Banking Analysis
May 1, 2026 – May 31, 2026
Designed and developed an interactive Banking Dashboard in Power BI to analyze client profiles and reduce loan risk. Utilized DAX to create KPIs and calculated metrics for loans, deposits, fees, client engagement, and account balances. Cleaned, transformed, and integrated multi-table banking datasets using Python and SQL (with primary/foreign key relationships). Engineered analytical features such as Engagement Timeframe, Engagement Days, and Income Bands for better client segmentation. Conducted loan and deposit analysis by income band, nationality, and account type to support data-driven lending strategies. Delivered insights enabling banks to identify high-risk clients, monitor account activity, and optimize client acquisition strategies.
View ProjectYelp Review Data Analysis Using Big Data Technologies
April 1, 2026 – May 31, 2026
Developed a scalable Big Data pipeline using AWS EMR, PySpark, and S3 to process and analyze millions of Yelp reviews. Automated ETL workflows with AWS Glue and GitHub Actions, reducing manual effort by 80%. Transformed raw JSON data into an analytics-ready format using PySpark, performing joins, aggregations, and feature extraction. Designed interactive Power BI dashboards via AWS Athena to visualize business performance, review trends, and user engagement. Deployed infrastructure using Terraform, enabling reproducible setup of cloud resources with Infrastructure as Code.
View ProjectData Analytics Job Simulation – SQL, Python
Unknown
June 1, 2026 – Present
Hacker Rank SQL Certification
HackerRank
June 1, 2026 – Present
CDAC - Big Data
CDAC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interest in data analysis across different domains (Yelp reviews, banking). The target role of Data Engineer aligns well with the skills and technologies used in their projects, particularly the Big Data pipeline development. The certifications in SQL and Python further support this alignment. The candidate's background in Big Data Analytics from CDAC indicates a focused career path towards data engineering.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills, self-learning ability, and an understanding of Agile methodologies. The project descriptions indicate an ability to work on structured tasks and deliver analytical insights. However, without direct work experience, the operational fit in a professional team setting and under pressure is yet to be validated.