Sameer Suman Email & Phone Number | Sameer is an accomplished professional with a strong background in leading major technical initiatives and making critical architectural decisions for data platforms, analytics, and AI. Skilled in building scalable pipelines, enhancing engineering best practices, and fostering a culture of technical excellence. Adept at developing and promoting high-quality, well-tested, maintainable code while architecting automated solutions for data observability and reliability. ● Languages: Java, Python ● Scripting: R, UNIX Shell Scripting ● Database: MySQL, ETL for Amazon Redshift, DynamoDB, PostgreSQL, BigQuery, NoSQL, MongoDB, S3, Azure Cloud DB, Graph DB, Tableau, PowerBI, DOMO, SSIS,SSRS, SSAS ● Data Engineering: Apache Spark SQL, Spark Streaming, Cassandra, Hbase, Hive, Pig, Flume, Storm ● Data Science: C4.5, k-means, Support Vector Machine, PageRank, kNN, Naïve Bayes, CART, Convolution Neural Network

Sameer Suman

Sameer is an accomplished professional with a strong background in leading major technical initiativ...
Greater Boston, Greater Boston, United States

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Sameer Suman’s Location Greater Boston, Greater Boston, United States

Sameer Suman’s Current Industry Disney Streaming

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Lead Data Engineer

2022-06-01 00:00:00 - Present

Advisory Software Engineer

2020-11-01 00:00:00 - 2022-06-01 00:00:00

Data Engineer

2017-06-01 00:00:00 - 2018-12-01 00:00:00

Senior Software Engineer

2014-12-01 00:00:00 - 2016-08-01 00:00:00

Software Engineer

2013-09-01 00:00:00 - 2014-12-01 00:00:00

Software Engineer

2010-07-01 00:00:00 - 2013-09-01 00:00:00

Project Trainee

2009-08-01 00:00:00 - 2010-04-01 00:00:00

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Sameer Suman is a Sameer is an accomplished professional with a strong background in leading major technical initiatives and making critical architectural decisions for data platforms, analytics, and AI. Skilled in building scalable pipelines, enhancing engineering best practices, and fostering a culture of technical excellence. Adept at developing and promoting high-quality, well-tested, maintainable code while architecting automated solutions for data observability and reliability. ● Languages: Java, Python ● Scripting: R, UNIX Shell Scripting ● Database: MySQL, ETL for Amazon Redshift, DynamoDB, PostgreSQL, BigQuery, NoSQL, MongoDB, S3, Azure Cloud DB, Graph DB, Tableau, PowerBI, DOMO, SSIS,SSRS, SSAS ● Data Engineering: Apache Spark SQL, Spark Streaming, Cassandra, Hbase, Hive, Pig, Flume, Storm ● Data Science: C4.5, k-means, Support Vector Machine, PageRank, kNN, Naïve Bayes, CART, Convolution Neural Network