Ravi Sharma
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Ravi Sharma Email & Phone Number

Building DocumentDB at Amazon Web Services (AWS)
Location: Seattle, Washington, United States 7 work roles
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✓ Verified August 2026 2 data sources Profile completeness 86%

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Current company
Role
Building DocumentDB
Location
Seattle, Washington, United States

Who is Ravi Sharma? Overview

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Ravi Sharma is listed as Building DocumentDB at Amazon Web Services (AWS), based in Seattle, Washington, United States. AeroLeads shows a matched LinkedIn profile for Ravi Sharma.

Ravi Sharma previously worked as Software Development Manager at Amazon Web Services (Aws) and Software Development Manager at Amazon.

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Email format at Amazon Web Services (AWS)

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Amazon Web Services (AWS)

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About Ravi Sharma

Ravi Sharma is a Building DocumentDB at Amazon Web Services (AWS). He possess expertise in hadoop, hive, hbase, mapreduce, java and 40 more skills.

Listed skills include Hadoop, Hive, Hbase, Mapreduce, and 41 others.

Current workplace

Ravi Sharma's current company

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Amazon Web Services (AWS)
Amazon Web Services (Aws)
Building DocumentDB
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7 roles

Ravi Sharma work experience

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Software Development Manager

Current

Seattle, Wa, Us

I lead the Query Performance, Indexing, and Storage team at AWS DocumentDB, a fully managed native JSON database tailored for scaling enterprise workloads. With a decoupled architecture, DocumentDB empowers users to scale compute and storage independently, catering to diverse use cases globally. In my role, I manage and cultivate my engineering team's growth, collaborating with Product, Engineering, and customer-facing teams to shape the product roadmap and vision. My team is dedicated to optimizing database efficiency, enhancing query performance, disk optimization, and introducing advanced capabilities like text search. Committed to excellence, we strive to elevate operational standards for an exceptional customer experience.

Nov 2022 - Present

Software Development Manager

Current

Seattle, Wa, Us

Led the Worldwide Returns & ReCommerce (WW R&R) Operation technology team which aspires to achieve the “four Zeros”: Zero cost of returns, Zero waste, Zero defects and Zero carbon at scale. During my stint, I learnt World's biggest reverse logistic operations, collaborated with various departments and multiple stackholders. My team developed a platform to support the various process paths for sorting and grading billions of customer returned packages across networks, and executing the workflows for Inventory creation, Customer refunds and Seller reimbursements for millions of customers.

Feb 2020 - Present

Director Of Engineering

Palo Alto, California, Us

Established Research and Development Center in India. Built a SaaS ML platform for business users and Data Scientists to be able to build the models with an easy to use interface. Models can be deployed with 1 click. It is an E2E platform that includes data pipeline, model build, model scores and model-based what-if visualizations. The product runs on a docker container in the Kubernetes framework and supports REST APIs.Built a Customer Engagement product from concept to GA release. The product provides Smart Routing and Agent Empowerment solutions using AI/ML technologies for contact centers.

Mar 2018 - Jan 2020

Product Architect

San Mateo, California, Us

Built the next generation platform for the BAAS(Bot as a service). Also, reviewed the books on Block chaining and Deep learning for one of the leading publication.Interest Area - Decentralized computation, Transfer learning and Deep Q learning.

Aug 2017 - Mar 2018

Data Scientist

San Mateo, California, Us

Developed the first commercial chatbot for Sony Entertainment and had launched it in partnership with Facebook Inc.

Jul 2015 - Jul 2017

Data Scientist

New York, Ny, Us

• Designed a high traffic scalable system catering multiple tenants.• Built commercial chat bots.• Built complex algorithms for better user personalization.• Applied Machine learning in real life problems.• Anomaly detection in time series analysis using Multivariate Gaussian distribution.• Collaborative filtering algorithms to provide recommendations.• News based Recommendation using DBPedia Ontology.• Text analysis using NLP.• Experienced in NoSql like MongoDB, Hbase and Cassandra.• Establish the Hadoop cluster environment on • Managed a large Hadoop cluster.• Sentiment analysis on app store reviews to find the most talked about positive and negative features.

Nov 2013 - Jun 2015

Hadoop Developer

Schaumburg, Il, Us

Specialties• Hadoop - Mapreduce and HDFS.• Proficient in automating with Java and bash scripting.• Text analysis using Mahout.• Predictive analysis and Machine Learning.• Image and Video processing using javaCV on Hadoop.• Cloud computing.• Distributed systems.• HBase,Hive and PIG.• Experienced on ETL tool.• Pentaho MapReduce jobs.

Oct 2011 - Oct 2013
FAQ

Frequently asked questions about Ravi Sharma

Quick answers generated from the profile data available on this page.

What company does Ravi Sharma work for?

Ravi Sharma works for Amazon Web Services (AWS).

What is Ravi Sharma's role at Amazon Web Services (AWS)?

Ravi Sharma is listed as Building DocumentDB at Amazon Web Services (AWS).

Where is Ravi Sharma based?

Ravi Sharma is based in Seattle, Washington, United States while working with Amazon Web Services (AWS).

What companies has Ravi Sharma worked for?

Ravi Sharma has worked for Amazon Web Services (Aws), Amazon, Scoredata Corporation, Msg.Ai, and Mycityway.

How can I contact Ravi Sharma?

You can use AeroLeads to view verified contact signals for Ravi Sharma at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.

What skills is Ravi Sharma known for?

Ravi Sharma is listed with skills including Hadoop, Hive, Hbase, Mapreduce, Java, Apache Pig, Unix Shell Scripting, and Oracle Certified Dba.

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