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Data Engineer with 1+ years in Big Data Analytics & Cloud Platforms
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Assessing your cultural and operational fit
Results-driven Data Engineer with a PG-Diploma in Big Data Analytics (CDAC) and a B.Tech in Computer Engineering. Hands-on professional at Loylty Rewardz designing ETL pipelines, MIS reports, and analytics solutions. Proficient in Python, SQL, PySpark, AWS, Snowflake, and Apache Hive. Skilled at building scalable data infrastructure, automating operational workflows, and delivering insights that directly support business growth.
USM's Shriram Mantri Vidyanidhi Info Tech Academy, Mumbai
PG-Diploma in Big Data Analytics · Big Data Analytics
January 1, 2024 – January 1, 2025
TME's J.T. Mahajan College of Engineering, Faizpur
Bachelor of Technology · Computer Engineering
January 1, 2021 – January 1, 2024
Government Polytechnic, Jalgaon
Diploma · Mechanical Engineering
January 1, 2018 – January 1, 2021
Dnyanprakash Mandal's Prabhat Vidyalaya, Hingone
Secondary School Certificate
January 1, 2017 – January 1, 2018
Loylty Rewardz Management Pvt. Ltd.
Data Engineer
June 1, 2025 – Present
Mumbai, Maharashtra, India
Data Warehouse Implementation
March 1, 2025 – March 1, 2025
Designed a Star Schema data warehouse in Apache Hive centralising student academic, placement, and admission data for institutional analytics. Optimised query performance with Hive Partitioning and Bucketing, dramatically reducing retrieval latency on large-scale datasets. Established a "Single Source of Truth” enabling predictive analytics on institutional KPIs and placement success patterns.
DataBraiN-SQL - AI-Powered Query Generator
February 1, 2025 – March 1, 2025
Architected a Natural Language-to-SQL engine using LangChain and Gemini Pro for seamless voice and text database querying. Engineered the full pipeline: intent parsing → SQL generation → MySQL execution → Pandas DataFrame visualisation. Secured with Bcrypt authentication and integrated Speech Recognition for accessible, enterprise-grade querying.
View ProjectFlight Delay Prediction
January 1, 2025 – February 1, 2025
Built a high-accuracy delay forecasting system using XGBoost and Neural Networks with advanced feature engineering on aviation telemetry data. Conducted EDA to uncover temporal delay patterns; improved model accuracy via hyperparameter tuning and cross-validation. Deployed an interactive Streamlit dashboard delivering real-time probability scores to end-users.
Cloud Data Pipeline Builder
AWS Academy
June 1, 2026 – Present
Databricks Fundamentals
Databricks Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of interests within data engineering and analytics, from predictive modeling to AI-powered query generation and data warehousing. The professional experience aligns well with the target role of Data Engineer, focusing on data integrity, pipeline optimization, and automation. The breadth of skills listed (Python, SQL, PySpark, AWS, Snowflake, Apache Hive, Machine Learning) indicates adaptability and a willingness to learn new technologies, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's experience highlights a proactive approach to problem-solving, particularly in identifying systemic loopholes and optimizing processes. The ability to build automation platforms and monitor data pipelines suggests a strong operational fit and a focus on efficiency. The project descriptions indicate an understanding of end-user needs and the ability to deliver actionable insights.