Abhishek Sharma

Product Manager

Bengaluru, Karnataka, India16 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building large-scale distributed systems.
Proven track record in real-time data analytics.
Leadership experience in managing engineering teams.

Stackforce AI infers this person is a Big Data and E-commerce expert with strong software engineering leadership.

Contact

aaabs@amazon.com LinkedIn

Skills

Core Skills

Data EngineeringDistributed SystemsTeam ManagementBig DataSoftware DevelopmentSearch Technologies

Other Skills

AWS KinesisAgile MethodologiesAlgorithmsAmazon Web Services (AWS)ApacheApache ParquetApache SparkArchitectureCC++CRMCassandraCore JavaData PlatformData Products

Experience

16 yrs 10 mos

Total Experience

2 yrs 1 mo

Average Tenure

5 yrs 10 mos

Current Experience

Amazon

Software Development Manager

Jul 2020 – Present · 5 yrs 10 mos · Bengaluru, Karnataka, India

Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger.
Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large scale distributed systems, elastic computing, big data, and ML technologies to tackle challenges at Amazon’s global scale.
Come join us in our journey to make everything – and yes, we do mean *everything* – that anyone wants to buy, available on Amazon!

Data EngineeringApache SparkDistributed SystemsBig DataMachine Learning

Flipkart

Engineering Manager

May 2019 – Jul 2020 · 1 yr 2 mos · Bengaluru Area, India

Managed Data Platform & Data Products for Ads, Merchandising, Recommendations and CRM.

Data PlatformData ProductsCRMData EngineeringTeam Management

Sigmoid

2 roles

Director of Engineering

Promoted

Jul 2018 – May 2019 · 10 mos

Real Time Data Analytics @ Scale with Apache Spark
Apache Spark - Spark SQL, Spark Core, GC tuning, Sorts Cost Optimisations
Process 30 billion + events per day, 30 TB uncompressed data per day
SQL Accelerator on Spark SQL leveraging Sigmoid Platform
Real Time Data Pipelines - AWS Kinesis, Firehose
Columnar Storage - Apache Parquet
Alluxio - Distributed in-memory cache
Apache Solr, Apache Yetus contributor.

Real Time Data AnalyticsApache SparkAWS KinesisApache ParquetBig DataData Engineering

Technical Lead

Oct 2016 – Aug 2018 · 1 yr 10 mos

Blinkit

Technical Architect

Apr 2015 – Oct 2016 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Spoonjoy (Aquired by Grofers)

Unbxd inc., a netcore company

Software Engineer

Sep 2013 – Apr 2015 · 1 yr 7 mos · Bengaluru Area, India

Developed Search SaaS product on top of Solr/Lucene for e-commerce product discovery.
Worked on contextual search, semantic search, user behavior and query classification.
Built a highly available and linearly scalable data aggregator.

SolrLuceneSearch SaaSSoftware DevelopmentSearch Technologies