Summary
Overview
Work History
Education
Timeline
Hi, I’m

Naveen Vijayan

Sr Manager, Data Engineering, Amazon

Summary

An experienced and results-driven leader with over a decade of experience in data engineering, data science, analytics, and automation technology. He has a proven track record of leading and managing multiple engineering teams to deliver high-quality, maintainable data, automation, and BI products that execute on the overall vision and long-term roadmap. Naveen is an influential leader with excellent communication and negotiation skills and a proven ability to work effectively with other technical and business leaders.

Overview

12
years of professional experience

Work History

Amazon
Seattle, WA

Sr Manager, Data Engineering
09.2022 - Current

Job overview


  • Leads and manages a team of 43 engineers, including Data engineers, BI engineers, Data Scientists, Application engineers, Support engineers, Business Analyst and TPM across 4 distinct teams owning a key data platform, several automation infrastructures in Native AWS, 3P UI Path on-prem infrastructure and several automation pipelines and reporting serving 1 million+ employee population across World Wide Operations.
  • Created a comprehensive automation and RPA program from scratch in 2022 to aid Amazon's HR team in supporting Worldwide Operations, resulting in a cost avoidance of 200 million dollars for Amazon and an enhanced experience for associates.
  • Responsible for defining the 3–5-year strategic vision and long-term roadmap of the four different teams and established the right engineering team structure.
  • Defines standards of excellence and drives the teams to adopt best practices. Champions operational excellence best practices within the team and works with other teams at Amazon.
  • Develop and implement data security policies and procedures to ensure compliance with internal and external regulations.
  • Conduct performance reviews, set goals, and mentor team members to build a high-performance data and analytics team.

Amazon
Seattle, WA

Data Science Manager
07.2019 - 09.2022

Job overview

  • Lead a team of 6 Software Development Engineers and 8 Data scientists and BI engineers responsible for building various machine learning models and analytics platform to support reporting for senior leaders including VP's and SVP's at Amazon.
  • The team won the Just Do it Award from Jeff Bezos in 2020 for building an alert mechanism for employees to be recognized fr their special achievements or days.
  • Led the partnership Amazon central Science team to develop an attrition prediction model used to surface employees at risk of attrition and transfer and expanded the program to L5 to L7 managers in WWOps through a homegrown product called engagement conversation.
  • Led the development of an automated Holiday eligibility and pay administration program for over 1 million hourly Associates across 20 countries, resulting in a payout of over $500MM, and successfully built and supported similar BI automation for various incentive and bonus programs throughout 2021.

Amazon
Seattle, WA

Sr Data Scientist
01.2019 - 07.2019

Job overview

  • Received the "Just Do It" award from Jeff Bezos for developing an employee-facing tool to analyze employee sentiment, including building the product from the ground up and implementing a machine learning component to analyze the data. Currently 52 engineers, product managers and data scientists work on maintaining and expanding the program.
  • Developed a machine learning model to predict attrition and forecast employee turnover, providing front-line managers with actionable insights to improve retention and engagement.
  • Created and implemented numerous supervised and unsupervised learning algorithms to classify employees and establish benchmarks for various people metrics data, improving overall workforce management and performance.

Amazon
Seattle, WA

Sr Business Intelligence Engineer
03.2017 - 01.2019

Job overview

  • Spearheaded the development of the entire reporting platform for Amazon's customer service organization as the first Business Intelligence Engineer (BIE) on the team, utilizing AWS infrastructure and Tableau.
  • Delivered weekly and monthly business review reports (WBR and MBR) to the team's VP-level leadership, providing data-driven insights to support decision-making.
  • Ensured the accuracy and completeness of the data used in the reports, developed new metrics and KPIs, and tracked performance to identify areas for improvement.
  • Designed and maintained the entire data pipeline to bring in data near real-time, enabling the team to support all reporting solutions.
  • Worked closely with stakeholders across the organization to understand data sources, design data models, and develop ETL pipelines.
  • Ensured the scalability and efficiency of the reporting platform, driving continuous improvement in Amazon's customer service organization through data-driven decision-making.

TicketNetwork
Hartford, CT

Sr Data Engineer
07.2014 - 03.2017

Job overview

  • Worked with CXO's and other top level management teams on a daily basis to drive process improvements based on data and make effective planning decisions by analyzing and consolidating data across the business using SQL and Tableau reports.
  • Responsible for several data driven sales and pricing analysis to identify the immediate and long term impact of
  • business decisions.
  • Partnered with business owners on initiatives including sales strategies, marketing programs, accounting forecast, customer support and fraud protection efforts.
  • Generated standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
  • Compiled data for monthly/annual financial reports, conduct profitability analysis and support predictive modeling initiatives.
  • Involved as a data engineer to ETL data from various sources using python to vertica based data warehouse and other big data tools.
  • In-house tableau expert and have conducted numerous companywide training sessions.


Cognizant Technologies Solutions
Hyderabad, India

Software Development Engineer
10.2011 - 05.2013

Job overview

  • Proposed and convinced the client (Nissan North America) to invest in building a very innovative sales-focused web application, developed from initiation to completion to identify potential customers using business intelligence and data warehousing, resulting in an increase in sales by 1000 units over the quarter gaining revenue for Cognizant as well as the Nissan.
  • Designed and developed several SSIS Packages for a Customer Intelligence Engine which involved complex business logic for data entry and performance tuning of stored procedures for data migration.
  • Led a team of 5 Software engineers to implement a customer-focused profit expansion strategy, I was able to help Lexis Nexis increase sales by 8 %, target new emerging markets and retain existing customers

Education

University of Kentucky
Lexington, KY

MBA
06.2013 - 2014.05

Birla Institute of Technology
Mesra, India

from Bachelors in Electrical Engineering
06.2007 - 2011.05

Timeline

Sr Manager, Data Engineering

Amazon
09.2022 - Current

Data Science Manager

Amazon
07.2019 - 09.2022

Sr Data Scientist

Amazon
01.2019 - 07.2019

Sr Business Intelligence Engineer

Amazon
03.2017 - 01.2019

Sr Data Engineer

TicketNetwork
07.2014 - 03.2017

University of Kentucky

MBA
06.2013 - 2014.05

Software Development Engineer

Cognizant Technologies Solutions
10.2011 - 05.2013

Birla Institute of Technology

from Bachelors in Electrical Engineering
06.2007 - 2011.05

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Naveen VijayanSr Manager, Data Engineering, Amazon