Manish Singh Email & Phone Number | I am data analytics professional having extensive experience in analytics, reporting, data engineering, data pipelines, data architecture, and dashboards. Currently working full time at Chubb as Principal Data Engineer in Small Business organization. Prior to Chubb, I worked at Amazon as Business intelligence Engineer in Marketing Science under Advertising organization. And helped advertisers succeed in their advertising journey by adopting High-value Action on Amazon Ads platform. Additionally, I have been involved and delivered a number of BI / Data Analytics Solutions implementations from design to deployment to large scale enterprises thru consulting assignments (via Cognizant, and ZenSar). I have delivered solutions using BI/ETL tech stack to clients in domain areas of Insurance, Ad Tech, Human Resource Analytics (HRA), Supply Chain, Manufacturing and Pharmaceutical. Below is a summary of my skills: Data / ETL - Databricks, Informatica Power Center, and others internal org tools used for building Data pipeline by using SQL and Python; Familiar with: AWS Glue, Azure Data Factory, Azure Databricks, and related ETL tools. Database Software – Proficient: Oracle, Redshift, SQL Server, Azure SQL Synapse (aka SQL DW) Programming Languages – Proficient: SQL (Oracle, T-SQL, and Redshift PostgreSQL); Intermediate: Python, Data Analysis by Pandas BI tool - Proficient: Qlik Sense, NPrinting, Power BI, Amazon QuickSight, OBIEE ; Certified in Qlik and Microsoft Power BI ; Familiar with: Tableau AWS - Athena, AWS Glue, S3, EMR Clusters, EC2, Lambda, Step function Data Science - EDA, Data Pre-processing, Hypothesis Testing, a/b testing, Statistical Inference, Supervised, Unsupervised machine learning models and Scikit-Learn packages, pipelines etc. Web - Familiar with: JavaScript, jQuery, HTML, CSS etc. Microsoft Products –: Access, Excel, PowerPoint, Word - Excel expertise includes a wide array of functions (V-lookup, Index / Match, etc.), lookup tables, pivot tables, array formulas Other tools - Jupyter, Pandas, Matplotlib, seaborn Visulaization Other details include: Business Intelligence implementation Dashboard Design Development of Reports and Dashboards Customer facing Business Domain - Insurance, Human Resources, Manufacturing & Pharmaceuticals.

Manish Singh

I am data analytics professional having extensive experience in analytics, reporting, data engineeri...
New York City Metropolitan Area, New York City Metropolitan Area, United States

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Manish Singh’s Email manish_singh@chubb.com

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Manish Singh’s Location New York City Metropolitan Area, New York City Metropolitan Area, United States

Manish Singh’s Current Industry Chubb

Manish Singh’s Prior Industry Amazon | Cognizant | Zensar Technologies

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Work Experience

Chubb

Principal Data Engineer

2023-06-01 00:00:00 - Present

Amazon

Business Intel Engineer, Amazon Ads

2022-04-01 00:00:00 - 2023-06-01 00:00:00

Cognizant

Manager, AI & Analytics @ Cognizant Digital Business

2017-07-01 00:00:00 - 2022-04-01 00:00:00

Zensar Technologies

Technical Lead

2012-07-01 00:00:00 - 2015-08-01 00:00:00

Skills

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Languages

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FAQ About Manish Singh

Manish Singh is located at
New York City Metropolitan Area, New York City Metropolitan Area, United States

Manish Singh is a I am data analytics professional having extensive experience in analytics, reporting, data engineering, data pipelines, data architecture, and dashboards. Currently working full time at Chubb as Principal Data Engineer in Small Business organization. Prior to Chubb, I worked at Amazon as Business intelligence Engineer in Marketing Science under Advertising organization. And helped advertisers succeed in their advertising journey by adopting High-value Action on Amazon Ads platform. Additionally, I have been involved and delivered a number of BI / Data Analytics Solutions implementations from design to deployment to large scale enterprises thru consulting assignments (via Cognizant, and ZenSar). I have delivered solutions using BI/ETL tech stack to clients in domain areas of Insurance, Ad Tech, Human Resource Analytics (HRA), Supply Chain, Manufacturing and Pharmaceutical. Below is a summary of my skills: Data / ETL - Databricks, Informatica Power Center, and others internal org tools used for building Data pipeline by using SQL and Python; Familiar with: AWS Glue, Azure Data Factory, Azure Databricks, and related ETL tools. Database Software – Proficient: Oracle, Redshift, SQL Server, Azure SQL Synapse (aka SQL DW) Programming Languages – Proficient: SQL (Oracle, T-SQL, and Redshift PostgreSQL); Intermediate: Python, Data Analysis by Pandas BI tool - Proficient: Qlik Sense, NPrinting, Power BI, Amazon QuickSight, OBIEE ; Certified in Qlik and Microsoft Power BI ; Familiar with: Tableau AWS - Athena, AWS Glue, S3, EMR Clusters, EC2, Lambda, Step function Data Science - EDA, Data Pre-processing, Hypothesis Testing, a/b testing, Statistical Inference, Supervised, Unsupervised machine learning models and Scikit-Learn packages, pipelines etc. Web - Familiar with: JavaScript, jQuery, HTML, CSS etc. Microsoft Products –: Access, Excel, PowerPoint, Word - Excel expertise includes a wide array of functions (V-lookup, Index / Match, etc.), lookup tables, pivot tables, array formulas Other tools - Jupyter, Pandas, Matplotlib, seaborn Visulaization Other details include: Business Intelligence implementation Dashboard Design Development of Reports and Dashboards Customer facing Business Domain - Insurance, Human Resources, Manufacturing & Pharmaceuticals.