Summary
Overview
Work History
Education
Skills
STRENGTHS
Passions
Websites
Learning & certifications
Projects
Publications
Achievements & Awards
Timeline
Generic
Tarit Sengupta

Tarit Sengupta

Summary

Dynamic and results-oriented Data Engineer with an extensive 2.9 years of technical background in developing data pipelines and data models. Skilled in automating data integration processes and optimizing database structures for improved performance and accuracy. Seeking to leverage advanced data engineering skills to drive efficient handling of customer data for a progressive organization.

Overview

3
3
years of professional experience

Work History

Data Engineer (Digital Cadre)

Tata Consultancy Services
Kolkata, India
10.2021 - Current
  • Assisted in the development and implementation of ETL processes
  • Conducted data cleaning and preparation tasks
  • Collaborated with data engineers to develop data pipelines to improve data quality and accessibility
  • Developed data pipelines to improve data accessibility, resulting in a 40% increase in data availability
  • Developed and maintained stored procedures, views, and functions in SQL server to optimize data extract, transform and load (ETL) processes by 35%
  • Generated, maintained and analyzed Azure monitoring dashboards, reports, and trends, minimizing customer pain points by 20%
  • Created data transfer pipelines between Azure services and on-premises systems, resulting in a 95% network throughput increase.
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.

Python Developer Intern

Appsbee Technologies
Kolkata, India
03.2021 - 09.2021
  • Built a machine learning model that accurately predicted customer behavior, enabling the company to target their marketing efforts and increase sales by 15%
  • Designed and delivered a series of data-driven insights that helped the company optimize its product offerings and improve customer satisfaction by 15%.
  • Implemented custom Python libraries to simplify complex workflows and improve maintainability.
  • Maintained comprehensive documentation of code changes, bug fixes, feature additions, making it easier for future developers to understand the system''s architecture efficiently.
  • Optimized application performance with efficient algorithms and data structures.

Education

B.Tech in Mechanical Engineering -

Techno India Saltlake
Kolkata
2021

XII (PCM) -

Jagadbandhu Institution
Kolkata
2017

X -

Jagadbandhu Institution
Kolkata
2015

Skills

  • Programming: Python, C, Bash, Powershell, SQL

  • Data analysis and visualization: Numpy, Pandas, Scikit-learn, matplotlib, seaborn, Excel, plotly, Data pipeline design and implementation, Data warehousing, ETL development, Data quality management, Data analysis and visualization, SQL and NoSQL databases, Pyspark, Microsoft Azure, Machine learning and AI integration, AWS lambda, Power BI Tools

  • Middleware Technologies: DevOps, SaaS, IIS/Apache/Tomcat/PHP configuration and Services, E1NS, Windows/Linux/Ubuntu server, Bash/Powershell/Python Scripting

STRENGTHS

  • Problem Solving

Used problem solving skills at TCS to deliver multiple complicated requirements by customer.

  • Analytical Problem-Solver

Utilized data analysis tools to overcome production issues, increasing efficiency by 20%.

  • Adaptable Learner

Quickly learned and applied new datatechnologies, reducing project completiontime by 30%.

Passions

  • Data Analysis
  • Sports Enthusiast

Learning & certifications

  • Microsoft Certified: Power BI Data Analyst Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure Developer Associate
  • Applied Data Science with Python Specialization - University of Michigan & Coursera
  • Deep Learning Specialization -deeplearning.ai & Coursera
  • Acquired TCS T-shape learning score of 4.31.2021

Projects

  • Enefit - Predict Energy Behavior of Prosumers:

An energy prediction model of prosumers to reduce energy imbalance costs. 

  • Home Credit - Credit Risk Model Stability:

Predicting default of clients based on internal and external information that are available for each client.

Publications

Screening COVID-19 cases using Deep Neural Networks with X-ray images

Ref: https://www.ijariit.com/manuscript/screening-covid-19-cases-using-deep-neural-networks-with-x-ray-images/

Achievements & Awards

  • HackerRank: 6* Coder (Successfully solved 200+ DSA problems)

https://www.hackerrank.com/taritsengupta19

Timeline

Data Engineer (Digital Cadre)

Tata Consultancy Services
10.2021 - Current

Python Developer Intern

Appsbee Technologies
03.2021 - 09.2021

B.Tech in Mechanical Engineering -

Techno India Saltlake

XII (PCM) -

Jagadbandhu Institution

X -

Jagadbandhu Institution
Tarit Sengupta