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Imran N.

Imran N.

Sr. Data Engineer| SQL | Python | Power BI | AWS| Data Warehouse

I have been in the IT industry for over a decade and have worked with numerous customers in different verticals of the business ranging from Finance, Sales, Manufacturing, and Relocation industries. My primary area of expertise is to help customers achieve their long-term Data Analytics needs using both On-premises/Modern Cloud based technologies and services. Please feel free to reach out or schedule a call. SKILL SET Proficient in Data Solution Architecture, Data Engineering Orchestration, Data Warehouse Architecture and Business Intelligence methodologies and solutions. AWS Cloud BI Services: Data Lake, S3, Redshift, Kinesis, AWS Glue, AWS Athena. Azure Cloud BI Services: Data Lake, Databricks, SQL Database, Stream Analytics, Data Factory, Synapse, Cosmos. Business Intelligence Tools: SQL Server Analysis Services, Power BI, Dundas Dashboard, Tableau, SAP HANA. Reporting Tools: Crystal Reports, Crystal Enterprise, and SQL Server Reporting Services Programming Languages: SQL, T-SQL, C#, VB.NET, PYTHON. RDBMS: SQL Server, Oracle, Redshift, MySQL, AURORA DB. NoSQL Database: Dynamo DB. Scripting Language: JavaScript, jQuery, JSON, VB Script, DAX. ETL/ELT Tools: AWS DMS, Kinesis, Lambda, Step Functions, AWS Glue, SSIS Packages. Data Modeling Tools: Microsoft Visio.

🇺🇸Suwanee, United States$50/hr100% JSS4.01 (10)Since Jan 2013

Earnings and projects

MRR
$0

Last 6 months ÷ 6

World#130,337 / 412k
🇺🇸Country#21,862 / 62.1k
Revenue, last 30 days
$0
Total earnings
$23k

Billed in all: $24k

World#130,337 / 412k
🇺🇸Country#21,862 / 62.1k
Per project
$1.9k
Projects, last 6 months
0
World#209,850 / 412k
🇺🇸Country#27,405 / 62.1k
Projects in all
12

Across 18 contracts

6% fixed94% hourly
World#183,649 / 412k
🇺🇸Country#26,220 / 62.1k

Earnings, last 30 days

$24kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$23,750$24,000$24,250$24,500Oct 8Oct 23Nov 7

Skills