Data Engineer - Python & ETL Specialist
Resume:
Vijay kashyap
Data Engineer Data Science Professional Python Developer
,Pune India
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GitHub: github.com/
LinkedIn: linkedin.com/in/vijay-kashyap-6767401a3
PROFESSIONAL SUMMARY
Results-driven Data Engineer with 2+ years of experience in designing, developing, and optimizing scalable ETL pipelines, data workflows, and machine learning solutions. Strong expertise in Python, SQL, AWS, MongoDB, FastAPI, Power BI, and Tableau.
Experienced in building data engineering pipelines, fraud analytics systems, and e-commerce intelligence platforms with strong knowledge of data processing, automation, and cloud-based architectures. Adept at converting raw data into actionable insights for business decision-making.
TECHNICAL SKILLS
Category
Skills
Programming
Python, Core Java, C
Data Engineering
ETL Pipelines, Data Warehousing, Data Processing, Data Cleaning, Data Transformation, Data Integration
Data Science
Machine Learning, Feature Engineering, EDA, Statistical Analysis, Predictive Modeling, Time Series
ML Algorithms
Linear Regression, Logistic Regression, Random Forest, Decision Trees, XGBoost
Libraries
Pandas, NumPy, Scikit-learn, Matplotlib
Frameworks
FastAPI, Django
Databases
SQL, MongoDB
Visualization
Power BI, Tableau, MS Excel
Cloud & DevOps
AWS, CI/CD, Git, GitHub
Web
HTML, CSS3
PROFESSIONAL EXPERIENCE
Wipro Limited — Data Engineer
India June 2024 – Present
Designed and developed scalable ETL pipelines for structured and unstructured enterprise data processing.
Built automated workflows for data extraction, transformation, validation, and loading (ETL/ELT).
Developed reusable Python scripts for data preprocessing, cleaning, and transformation.
Optimized SQL queries for improved performance and faster data retrieval.
Worked with large-scale datasets for analytics, reporting, and business intelligence use cases.
Performed data modeling and schema design for analytical systems.
Integrated multiple data sources including APIs and databases.
Conducted Exploratory Data Analysis (EDA) to extract business insights and trends.
Supported machine learning model development for fraud detection and forecasting.
Implemented feature engineering techniques to improve model accuracy.
Built interactive dashboards using Power BI and Tableau.
Worked on AWS cloud services for data storage, processing, and deployment.
Assisted in CI/CD pipeline implementation for automation and deployment.
Integrated ML models into applications using FastAPI and Django.
Developed REST APIs for data access and analytics systems.
Automated repetitive data engineering tasks using Python scripting.
Collaborated in Agile/Scrum teams for requirement analysis and delivery.
Provided production support and resolved data pipeline issues.
Improved ETL efficiency through optimization and automation techniques.
PROJECTS
E-Commerce Customer Behavior & Sales Intelligence Platform (USA Client)
Developed an e-commerce analytics platform for customer segmentation and sales insights.
Built ETL workflows for processing large-scale retail datasets.
Conducted EDA to identify customer behavior, purchasing patterns, and sales trends.
Developed predictive models for churn prediction and revenue forecasting.
Implemented time-series forecasting for demand and inventory planning.
Created dashboards using Power BI and Tableau for business insights.
Improved data quality and automation using preprocessing pipelines.
Tech Stack: Python, SQL, Pandas, NumPy, Scikit-learn, Power BI, Tableau, AWS
EDUCATION
Master of Computer Application (MCA)
ITM University, Gwalior 2020 – 2022
Bachelor of Computer Application (BCA)
Punjab University 2015 – 2018
ACHIEVEMENTS
AIR 141 in NIMCET
KIITEE Rank 23
AIR 43 in national-level exam
AIR 200 in BHU
AIR 400 in BITS
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