• Hello
    I'm Sainath

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About me

Hi I'm Sainath Dutkar, Masters in Information Systems from New Jersey Institute of Technology with concentration in Data Analytics

Tech enthusiast with proven skills in AWS eco system with Appreciation of Agile software processes, data-driven development, reliability, and responsible experimentation.

Cups of coffee
projects and counting
Year of Experience

My Skills

Java

75%

Python

90%

Amazon Web Services

85%

HTML, CSS, JavaScript

60%

SQL (PostgreSQL, MySQL)

90%

NoSQL (Cassandra, DynamoDB)

80%

API, Microservices

70%

Data tools

80%
Education

Education

  • New Jersey Institute of Technology , Newark, NJ, USA
  • AUG 2017 - DEC 2018

I am a Graduate Student from New Jersey Institute of Technology in Information Systems (concentration in Data Engineering and Data Analytics)

  • Sardar Patel Institute of Technology, Mumbai University
  • SEP 2011 - MAY 2014

Graduated with First Class in Information Technology, batch of 2014.

  • Pravin Patil Institute of Technology, MSBTE, Mumbai, India
  • SEP 2008 - MAY 2011

Completed with a Distinction, batch of 2011.

Experience

Work Experience

Capgemini America INC senior Consultant JUN 2020 - PRESENT

- Implemented multiple data replication pipelines for replicate legacy data into Cloud
- Developed Change Data Capture pipeline with mimimum latecy to replicate data into cloud
- Developed dashboards showing data replication KPI and meterics

Brivo Systems Database Engineer OCT 2019 - JUN 2020

- Owned and managing data models including Postgres, DataStax Cassandra and Snowflake responsible for Database Architecture and Administration activities involving Data Model
- Developed pipeline to replicate transactions data to data lake
- Developed BI dashboards utilizing warehouse data

New Jersey Courts Information Technology Analyst MAR 2019 - AUG 2019

- Actualized solution showcasing substantial cost reduction by migrating from IBM Content Manger to AWS ecosystem using AWS S3, AWS Lambda, API Gateway and Amazon RDS DynamoDB
- Worked on data normalization and Stored procedures on IBM DB2 for enhancements and reusability
- Improvised chatbot developed using Microsoft Azure bot, Microsoft Cognitive services and Cosmos DB

Insight Data Science Data Engineering Fellow SEP 2018 - DEC 2018

- Developed a data engineering pipeline to trace edit trends on NASDAQ and NYSE listed company’s Wikipedia Pages
- Utilized Java to perform web scraping on Wikipedia pages on regular intervals and stored data in S3 bucket
- Processed the S3 data using Spark to extract and store the final page results on Amazon RDS MySql and is visualized using Dash

Systech International Engineer Intern JUN 2018 - AUG 2018

- Developed an application using JavaFx to simulate an environment which produces hardware health status updates in the form of JSON payloads at desired intervals
- Assisted developers with the simulator to test scalability of their product
- Participated in daily scrum meetings with technology vice-president to improve potential solutions

Cognizant Technology Solutions Programmer Analyst JUL 2014 - AUG 2017

- Leveraged PEGA PRPC and SQL skills in developing BPM application for a Telecommunication clinet Telstra
- Coordinated with business stakeholders to understand the requirements and build user-stories using JIRA
- Developed utility tool in Java to read and determine XML files; accomplished 75% manual effort reduction
- Received “Shining Star” at Cognizant from executive management for building excellent relationships with team and egarness to learn and lead

My Work

My few recent projects

Hover over images to explore

STOCK WATCH

Data engineering pipeline to analyse edit trends on NASDAQ and NYSE companies Wikipedia pages

view project

DAILY TASK MANAGER

Web application that allows a user to create, track and manage daily tasks within the organization

view project

ONLINE NEWS POPULARITY (Data Analysis)

Analysed news data containing 40,000 instances and 61 attributes with the goal of predicting the key factors contributing to news popularity. Model predicted news popularity with 68% accuracy

view project

Search Engine using Apache lucene

Implemented search engine using Apache Lucene. Added spell checker using Norvig’s Spell Checker algorithm and snippet feature. Achieved 1.65% higher relevancy score

view project

Customer Prediction using CreditData

The aim of the project is to analyse the German Credit data set and create a predictive model based on supervised learning. The model is used to help the bankers find out whether a customer is good or bad so that, the decision on giving if person is eligible for loan

view project