April 2012 to February 2015
Greater Seattle Area
Business Intelligence Engineer
April 2010 to April 2012
Operations Business Intelligence engineer
April 2008 to April 2010
Greater Seattle Area
June 2006 to April 2008
Rackspace, the #1 managed cloud company
Senior Software Engineer, Data
February 2015 to June 2016
Software Engineering Manager
San Francisco Bay Area
What company does Neha Bhatt work for?
Neha Bhatt works for Amazon
What is Neha Bhatt's role at Amazon?
Neha Bhatt is Data Engineer
What industry does Neha Bhatt work in?
Neha Bhatt works in the Computer Software industry.
Data Engineer @ Amazon From April 2012 to February 2015 (2 years 11 months) Greater Seattle AreaBusiness Intelligence Engineer @ Amazon From April 2010 to April 2012 (2 years 1 month) Operations Business Intelligence engineer @ Amazon From April 2008 to April 2010 (2 years 1 month) Greater Seattle AreaDW engineer @ Capgemini From June 2006 to April 2008 (1 year 11 months) Senior Software Engineer, Data @ Rackspace, the #1 managed cloud company From February 2015 to June 2016 (1 year 5 months) Software Engineering Manager @ Uber Software Engineering Manager, Adtech OptimizationsLeading a team of 13 engineers that are responsible for Adtech’s Channel Optimization Platform and Location(Point of interests) insights platform. Both Platforms support Intelligent data and optimization products and are leveraged by all of Uber’s marketing managers, 3 cross-functional marketing engineering teams. The Tech stack used was Python, PyML, Hive, Presto, Java, Cadence, Kafka, My SQL, S3, Lucene, REST, Spark.Built the Adtech team and then Adtech’s Channel Optimization team from the ground up. Created a team charter to improve marketing Return on Ad Spend (RoAS) by channel niche optimization algorithms and machine learning models. Established a vision for efficient spend and formed a dedicated team for Adtech Channel Optimization Platform owning all marketing-related optimizations. This platform fuels all of the paid marketing money for Uber and is the decision making engine controlling how much to spend on which campaigns and which markets.Managed and Lead a team of 8 engineers virtually split across different Orgs and built City Pulse supported by Location Insights Platform. Architected the system to handle backend search requests and supporting locations data behind it. It is a miniature version of tripadviser but for popular places that people take uber rides to or order food from. Communicated and aligned leaders around vision across 3 orgs by partnering with 6 teams for correctly architecting this platform. Which was built to be used by all of uber’s web teams as well as marketing teams to serve Points of Interests search requests. San Francisco Bay Area
Introversion (I), Sensing (S), Thinking (T), Perceiving (P)
2 year(s), 1 month(s)
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