Summary
Overview
Work History
Education
Skills
Websites
Personal Projects
Accomplishments
Timeline
AdministrativeAssistant
Akshay Sutar

Akshay Sutar

Associate Data Engineer
Mumbai

Summary

A Data Engineer Experienced in working with a startup company well versed with data-preprocessing, data analysis ,maintaining pipelines and reporting. A good hands on experience in complex problem solving ,root cause analysis and appropriate solution implementation.

Overview

1
1
year of professional experience

Work History

Associate Data Engineer

Go Digital Technology Consulting LLP
12.2022 - Current
  • Worked on Electrical domain project (Enterprise Distribution System Health).
  • Worked on a Employee Portfolio reporting project, where I built multiple ETL to gather the data and generate the reports for the employees.
  • Developed, implemented and maintained data analytics protocols, standards, and documentation.
  • I modified a few ETLs as a Data Engineer and made a cron scheduler for them.
  • Successfully implemented a POC for automated RDS instance up and down in lower environments, resulting in a 60% cost reduction.
  • Services used: S3, Athena, EMR, RDS, Secrets Manager, Lambda, EventBridge, CloudWatch, SNS, LakeFormation, Step Functions, DynamoDB, Redshift Glue, EMR Notebooks
  • To automate infrastructure, I used Terraform.
  • We migrated the projects from On-Prem to A.W.S

Education

PG-Diploma in Big Data Analytics (PG-DBDA) -

CDAC Kharghar
Kharghar, Mumbai | Nov 2022
2022

Bachelor of Engineering - Mechanical Engineering

Savitribai Phule Pune University
Pune, India | July 2019
07.2019

Skills

    Python

undefined

Personal Projects

  • Credit Default Risk (Team of 3)-In this project we tried to deal with huge dataset having near about 4 million records manipulated the dataset to find out the default risks involved to approve the credit with the help of Pandas, Numpy, matplotlib, seaborn libraries.
  • Stock Price Prediction-Stock market prediction is prediction of prices based on historical market data. This data mainly comprises of OpenPrice, HighPrice, LowPrice and ClosePrice. The idea is to build a predictive solution to predict these prices based on machine learning of historical data and to be able to visualize data in some form .(Eg Graphs) where x axis defines time and y axis defines the price.

Accomplishments

  • LinkedIn Badges in MongoDB, PowerBI, Python, SQL
  • NMMS Scholarship
  • Best Baller in high school

Timeline

Associate Data Engineer

Go Digital Technology Consulting LLP
12.2022 - Current

PG-Diploma in Big Data Analytics (PG-DBDA) -

CDAC Kharghar

Bachelor of Engineering - Mechanical Engineering

Savitribai Phule Pune University
Akshay SutarAssociate Data Engineer