Sasikumar Natarajan


When I am not designing and implementing big data solutions using cloud technologies at work, you can usually find me on my bicycle, or playing badminton!

Courses and Certifications
Predix Certified Developer

Predix Certified Developer

GE Digital

Issued June 27, 2016

MongoDB Certified Developer Associate

MongoDB Certified Developer Associate

MongoDB, Inc.

Issued December, 09, 2020

Career Summary

Data Platform engineer with over nine years of hands-on experience with various open source and cloud technologies. Involved in developing custom data platforms for use-cases like IoT, stream processing and batch processing based on customer needs. Used Azure and AWS PaaS components extensively for developing the platforms. Continuously learning to improve my skills to build highly reliable, scalable and maintainable data processing systems.

  • Bachelor of Technology, Information Technology, Jerusalem College of Engineering (Anna University), Chennai, India. August 2007- April 2011
Work Experience


August 2019 - Present

  • Design and implement features in Big Data pipeline for a healthcare customer  using Microsoft Azure (Databricks, ADF etc.,)
  • Implemented backend of UI-based data mapping to make data engineer’s life easier
  • Added data validation rules and reporting feature to improve quality of data
  • Discuss, analyze and implement user suggestions/feedback for continuous improvement of  platform
Atsuya Technologies

Senior Platform Specialist

March 2018 - July 2019

  • Developed custom IoT data platform to collect and store timeseries data from temperature monitoring devices. Built restful API’s required for mobile apps.. Built reports for analyzing customer’s asset performance
  • Implemented real-time alerting workflow engine to notify drop or raise in temperature to various levels of people at configured intervals
Cognizant Technology Solutions

Senior Associate

December 2011 - February 2018

  • Worked on streaming data platform for a manufacturing customer to provide near-real time data about device usage to their end users Technologies used are Apache Storm, Azure EventHub, Apache Phoenix etc.. Deployed Restful APIs for serving user’s data requests
  • Worked on microservice-based solution using Predix IoT platform for a logistics customer to track their trucks and containers in real-time
  • Helped education sector customer by implementing a scheduled job (daily) to copy data from a Heroku MongoDB to in-house MongoDB to use it as an ETL source
Technical Skills
Backend Technologies
  • Java
  • Microsoft Azure
  • Scala
  • Apache Spark
  • Apache Storm
  • Spring Boot
Webservices Tools
  • REST
  • MongoDB
  • SQL
  • Apache Phoenix
  • Redis
  • Azure DevOps
Technical Domains
  • Cloud Technologies
  • Big Data