Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
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Shubhi Srivastava

Data Engineer
Bengaluru,India

Summary

Motivated Data Engineer with 2 years of progressive experience. An energetic self-starter and a quick learner. A great team player with excellent time management and problem-solving skills.

Overview

2
2
years of professional experience
5
5
years of post-secondary education
3
3
Certifications

Work History

Data Engineer

Larsen & Toubro Infotech
Bengaluru, India
07.2020 - Current

Automation of Data Migration

  • Worked on automating the task of analyzing and migrating the database objects from SQL Server and Hive to Snowflake's cloud data platform using Python.
  • The automation saved the cloud migration time and cost by 60%
  • Recorded and validated complex data objects within strict business deadlines, promptly identifying issues to enable swift remedy.

Data Ingestion using near-real-time pipeline - POC

  • As a part of Data Centre of Excellence team, worked on data ingestion framework for data sources such as SQL Server, Oracle, Postgres, and S3 to Snowflake on the basis of event and time based scheduling using Python.


Intern

IBM
06.2019 - 07.2019
  • The project objective was to perform testing on a web application in order to assure quality and to test its functionality.
  • Various testing approaches such as black box testing, white box testing and manual testing are applied on different test cases.

Education

B.Tech - Computer Science

University of Petroleum And Energy Studies
Dehradun
07.2016 - 07.2020

CBSE, XII - Science

The Awadh School
Lucknow
05.2015 - 05.2016

Skills

    Python

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Certification

SnowPro Core

Projects

  • IBRD FINANCE DATA ANALYSIS

The project focused on analyzing cancelled loans along with other factors to prepare for future, the objective was to move disparate data sources from a large amount of dataset using various Big Data technologies.


  • AGRI-BUSINESS PORTAL FOR FARMERS

The project objective was to suggest suitable crops and fertilizers to the farmers on the basis of different parameters related to geographical conditions using Python with Machine Learning.


  • SALES ANALYSIS OF SMALL-SCALE STORES

Analyzes the sales data of large-scale store and predicts what products are most frequently bought there and suggest these item sets to the small-scale store owner to increase their sales growth using Python.




Timeline

SnowPro Core

04-2021

Codility - Python

11-2020

Codility - SQL

11-2020

Data Engineer

Larsen & Toubro Infotech
07.2020 - Current

Intern

IBM
06.2019 - 07.2019

B.Tech - Computer Science

University of Petroleum And Energy Studies
07.2016 - 07.2020

CBSE, XII - Science

The Awadh School
05.2015 - 05.2016
Shubhi SrivastavaData Engineer