Mohammed Rahman
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Mohammed Rahman Email & Phone Number

Big Data Developer at Pratt & Whitney
Location: New York, New York, United States 5 work roles 2 schools
1 work email found @cigna.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@cigna.com
LinkedIn Profile matched
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Current company
Role
Big Data Developer
Location
New York, New York, United States
Company size

Who is Mohammed Rahman? Overview

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Quick answer

Mohammed Rahman is listed as Big Data Developer at Pratt & Whitney, a company with 10 employees, based in New York, New York, United States. AeroLeads shows a work email signal at cigna.com and a matched LinkedIn profile for Mohammed Rahman.

Mohammed Rahman previously worked as Big Data Developer at Citi and Data Engineer at Cigna. Mohammed Rahman holds Master'S Degree, Master Of Science In Data Science from Cuny School Of Professional Studies.

Company email context

Email format at Pratt & Whitney

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{first}.{last}@cigna.com
86% confidence

AeroLeads found 1 current-domain work email signal for Mohammed Rahman. Compare company email patterns before reaching out.

Profile bio

About Mohammed Rahman

• 7+ years of IT experience in Software Development with 5+ years of work experience as a Big Data & Hadoop Developer with good knowledge of the Hadoop framework.• Expertise in Hadoop architecture and various components such as HDFS, YARN, High Availability, Job Tracker, Task Tracker, Name Node, Data Node, and MapReduce programming paradigm.• Experience with all aspects of development from initial implementation and requirement discovery, through release, enhancement, and support (SDLC & Agile techniques).• Having 6 years of experience in Design, Development, Data Migration, Testing, Support, and Maintenance using Redshift Databases.• Having 5 years of experience in Apache Hadoop technologies like Hadoop distributed file system (HDFS), Map Reduce framework, Hive, PIG, Python, Sqoop, Oozie, HBase, Spark, Scala, and Python.• 5 years of experience in AWS cloud solution development using Lambda, SQS, SNS, Dynamo DB, Athena, S3, EMR, EC2, Redshift, Glue, Quicksight, and CloudFormation.• Experience in using Microsoft Azure SQL database, Data Lake, Azure ML, Azure data factory, Functions, Databricks, and HDInsight.• Working experience in big data on the cloud using AWS EC2 & Microsoft Azure and handled Redshift & Dynamo databases with huge amounts of data 300 TB.• Extensive experience in migrating on-premise Hadoop platforms to cloud solutions using AWS and Azure.• 5 years of experience in writing Python as an ETL framework and PySpark to process huge amounts of data daily.• Strong experience in implementing data models and loading unstructured data using HBase, Dynamo DB, and Cassandra.• Created multiple report dashboards, visualizations, and heat maps using tableau, QlikView, and Qlik sense reporting tools.• Experienced in transporting and processing real-time event streaming using Kafka and Spark Streaming.• Designed and developed spark pipelines to ingest real-time event-based data from Kafka and other message queue systems to process huge data with spark batch processing into a data warehouse hive.• Designed data models for both OLAP and OLTP applications using Erwin and used both star and snowflake schemas in the implementations.

Listed skills include Amazon Redshift, Python, Apache Spark, Scala, and 14 others.

Current workplace

Mohammed Rahman's current company

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Pratt & Whitney
Pratt & Whitney
Big Data Developer
New York, NY, US
Website
Employees
10
AeroLeads page
5 roles

Mohammed Rahman work experience

A career timeline built from the work history available for this profile.

Big Data Developer

Current

New York, New York, US

  • Understood the business requirements with extensive interaction with users and reporting teams and assisted in developing low-level design documents.
  • AWS Infrastructure setup on EC2 and S3 API implementation for accessing S3 bucket data files.
  • Created Databases and tables using Redshift and dynamo DB and wrote complex EMR scripts to process Tera bytes of data into the AWS S3 cluster.
  • Performed real-time analytics on transactional data using Python to create statistical models for predictive and reverse product analysis.
  • Implemented Lambda to configure Dynamo DB Autoscaling feature and implemented Data Access Layer to access AWS DynamoDB data.
  • Written ETL flows and MapReduce to process data from AWS S3 to dynamo DB and HBase.
Sep 2022 - Present

Data Engineer

Bloomfield, CT, US

  • Full life cycle of the project from Design, Analysis, logical and physical architecture modeling, development, Implementation, and testing.
  • Conferring with data scientists and other Qlik stream developers to obtain information on limitations or capabilities for data processing projects.
  • Designed and developed automation test scripts using Python.
  • Creating Data Pipelines using Azure Data Factory.
  • Automating the jobs using Python.
  • Creating tables and loading data in Azure MySQL Database
Aug 2020 - Sep 2022

Big Data Engineer

Düsseldorf, North Rhine-Westphalia, DE

  • Created packages with different control flow options and data flow transformations such as Conditional Split, Multicast, Union all Derived Column, etc.
  • Creating Hive tables and working on them using Hive SQL.
  • Designed and Implemented Partitioning (Static, Dynamic) Buckets in HIVE.
  • Developed multiple POCs using PySpark and deployed them on the YARN cluster, comparing the performance of Spark, with Hive and SQL.
  • Troubleshoot production failures as part of production support.
  • Writing SQL Scripts to extract the data from the Database and for Testing Purposes.
Apr 2019 - Aug 2020

Data Warehouse Engineer

Bentonville, Arkansas, US

  • Set up and built AWS infrastructure with various services available by writing cloud formation templates (CFT) in JSON and yaml.
  • Developed Cloud Formation scripts to build EC2 on demand.
  • With the help of IAM created roles, users, and groups and attached policies to provide minimum access to the resources.
  • Updating the bucket policy with the IAM role to restrict access to users.
  • Configured AWS Identity Access Management (IAM) Group and users for improved login authentication.
  • Created topics in SNS to send notifications to subscribers as per the requirement.
Feb 2018 - Mar 2019
Team & coworkers

Colleagues at Pratt & Whitney

Other employees you can reach at citibank.com. View company contacts for 10 employees →

2 education records

Mohammed Rahman education

Master'S Degree, Master Of Science In Data Science

Cuny School Of Professional Studies

Bachelor'S Degree, Bachelor Of Science, Compute Science

Wilmington University
FAQ

Frequently asked questions about Mohammed Rahman

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

What company does Mohammed Rahman work for?

Mohammed Rahman works for Pratt & Whitney.

What is Mohammed Rahman's role at Pratt & Whitney?

Mohammed Rahman is listed as Big Data Developer at Pratt & Whitney.

What is Mohammed Rahman's email address?

AeroLeads has found 1 work email signal at @cigna.com for Mohammed Rahman at Pratt & Whitney.

Where is Mohammed Rahman based?

Mohammed Rahman is based in New York, New York, United States while working with Pratt & Whitney.

What companies has Mohammed Rahman worked for?

Mohammed Rahman has worked for Pratt & Whitney, Citi, Cigna, Henkel, and Walmart.

Who are Mohammed Rahman's colleagues at Pratt & Whitney?

Mohammed Rahman's colleagues at Pratt & Whitney include Eric Miller, Akshat Goyal, Debra Santoro, Jeevan Lobo, and Kavitha Subramanian.

How can I contact Mohammed Rahman?

You can use AeroLeads to view verified contact signals for Mohammed Rahman at Pratt & Whitney, including work email, phone, and LinkedIn data when available.

What schools did Mohammed Rahman attend?

Mohammed Rahman holds Master'S Degree, Master Of Science In Data Science from Cuny School Of Professional Studies.

What skills is Mohammed Rahman known for?

Mohammed Rahman is listed with skills including Amazon Redshift, Python, Apache Spark, Scala, Apache Kafka, Elasticsearch, Big Data, and Data Engineering.

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