TANYA CHAUHAN
Data Engineer
Noida,U.P
Summary
Highly skilled Data Engineer and ETL Developer with expertise in Informatica, Teradata, Redshift, AWS S3, Lambda, Step Function, SQL, and Tableau. Specializes in designing and optimizing ETL processes and data pipelines, ensuring seamless data integration and transformation. Proven track record of consistently delivering high-quality solutions that exceed client expectations. Strong analytical skills and effective collaboration with stakeholders drive business insights and operational efficiencies through data-driven solutions.
Overview
2
2
years of professional experience
4
4
years of post-secondary education
1
1
Certification
Work History
Data Engineer
Tata Consultancy Services
Noida
09.2022 - Current
- Project : GE Healthcare
- Design, develop, and maintain robust data pipelines and ETL processes to ensure smooth data flow from data warehouse. Collaborate with business stakeholders to understand data requirements and deliver comprehensive solutions.
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
- Led end-to-end implementation of multiple high-impact projects from requirements gathering through deployment and post-launch support stages
- Conducted extensive troubleshooting to identify root causes of issues and implement effective resolutions in timely manner
- Developed and delivered business information solutions
- Tech Stack: Teradata | Informatica | Teradata | Redshift | S3 | Step Function | Lambda |SNS |Cronacle | Tableau
- Subject Area: Supply Chain
Education
Bachelors of Technology - Electrical and Electronics Engineering - Electrical And Electronics Engineering
Dr. Akhilesh Das Gupta Institute of Technology And Management
New Delhi 01.2019 - 06.2022
HSS -
SCDAV Public School
Noida, U.P 01.2016 - 01.2017
Skills
Structured query language (SQL)
Redshift
Informatica
ETL
Teradata
Amazon Web Services (AWS)
Spark
Python
Data Warehousing
Tableau
ETL development
Machine Learning
SQL Programming
Data Analysis
Project
Breast Cancer Prediction
Developed a logistic regression model to classify breast cancer as either Malignant or Benign using the Breast Cancer Wisconsin (Diagnostic) Data Set. The project was executed in the Google Colab environment, leveraging Scikit-learn for model implementation and evaluation.
Tech Stack:
- Programming Language: Python
- Machine Learning Library: Scikit-learn
- Data Set: Breast Cancer Wisconsin (Diagnostic) Data Set from Kaggle
- Development Environment: Google Colab
- Version Control: GitHub
Repository: https://github.com/Tanya440/BreastCancer-ML
Features:
- Data Preprocessing: Clean and prepare data for modeling.
- Model Building: Construct a logistic regression model for classification.
- Evaluation Metrics: Assess model performance using accuracy, precision, recall, and F1-score.
- Visualization: Display results through relevant plots and metrics.
Additional Information:
- Installation: Instructions for running the project in Google Colab.
- Usage: Guide on how to interpret the results and make predictions using the trained model.
Languages
Hindi
English
Certification
Data Science using Python Training - 6 Months
Additional Information
Projects :
Timeline
Data Engineer
Tata Consultancy Services
09.2022 - Current
Bachelors of Technology - Electrical and Electronics Engineering - Electrical And Electronics Engineering
Dr. Akhilesh Das Gupta Institute of Technology And Management
01.2019 - 06.2022
HSS -
SCDAV Public School
01.2016 - 01.2017