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Senior BI Engineer @ Amazon
I am a passionate, self-motivated data analytics professional with an accomplished record of guiding data-driven decisions and improving programs across business disciplines. I am skilled in data processing and analysis, problem-solving, and insightful reporting. I excel at working across teams to bring all the pieces together and accomplish big-picture strategies and have a sharp ability to communicate complex analysis to all levels of stakeholders. I was a founding data engineer in the fast-growing marketing analytics team at Juniper for 3.5 years. I build the marketing datalake, connected the data and derive data insights for executives to make data-driven decisions. Then, I was at an established enterprise data team at Move Inc (Realtor.com). I partnered with Sales Ops and Sales teams for their analytics and dashboard development needs. I built a Product Dashboard and Sales 360 dashboard during my tenure. Presently at Amazon (Twitch), I work closely with principal engineers and architects in my team and work on complex reporting and analytical projects for the finance team, building automation to the data extracting process and dashboards.
Udacity
Certification, Data Analyst Nanodegree
January 1, 2016 – January 1, 2017
John Hopkins University/ Coursera
Data Science Specialisation
January 1, 2015 – January 1, 2015
Nanyang Technological University Singapore
Bachelor of Engineering (B.Eng.), Chemical and Biomolecular Engineering
January 1, 2006 – January 1, 2010
Amazon
Senior BI Engineer
May 1, 2024 – Present
San Francisco Bay Area
Twitch
Senior BI Engineer
May 1, 2022 – April 1, 2024
San Francisco Bay Area · On-site
realtor.com
Senior Business Intelligence Developer
December 1, 2020 – April 1, 2022
Santa Clara, California, United States
Juniper Networks
Solutions Engineer (Data Engineer / Science/ Data Analyst)
January 1, 2017 – January 1, 2020
Sunnyvale, California
PRO Unlimited
Data Analyst
June 1, 2016 – December 1, 2016
GreatNonprofits
Data Analyst
February 1, 2016 – June 1, 2016
ERM: Environmental Resources Management
Staff Engineer
June 1, 2013 – May 1, 2015
Walnut Creek, California
Environmental Resources Management
Risk & Safety Engineer
July 1, 2010 – October 1, 2012
Singapore
Word Prediction Application
January 1, 2016 – Present
Capstone project for the Data Science specialisation. Developed a word prediction application on Shiny server to predict the next word given an input text by the user. Project was completed in a month.
Data Science - Regression Model
September 1, 2015 – Present
https://github.com/rsshalini/RegressionModel_Project A study of factors affecting mileage of motor vehicles - Analysis of a dataset and to build a linear regression model with mileage as the outcome.
Data Science - Reproducible Research
August 1, 2015 – Present
https://rpubs.com/rsshalini/105065 U.S. weather data from 1954 to 2011 was used to analyse the type of weather events that are most harmful to population health and the weather events with greatest economic consequences. Medium blog https://medium.com/@ShaliniSubra/which-weather-events-in-u-s-cause-harm-b28441ebf42f
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
CS50 certificate
CS50
June 24, 2026 – Present
Tableau Analyst
Tableau, LLC
June 24, 2026 – Present
Data Science Specialization
Coursera Course Certificates
June 24, 2026 – Present
Data Science Capstone
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background, transitioning from Chemical Engineering to Data Science/BI roles. Their experience spans multiple reputable companies (Amazon, Twitch, realtor.com, Juniper Networks), indicating adaptability and a drive for continuous learning. The project diversity, including personal data science projects, suggests initiative and a passion for the field. The certifications in AWS, Tableau, and Data Science further support a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate's experience includes leading analytical projects, meeting with stakeholders, mentoring interns, and presenting at conferences, indicating strong communication and collaboration skills. The descriptions suggest an ability to work in cross-functional teams and manage project deliverables.