JAMES WILFRED NDIKINTUM
Clarksville,TN
Summary
Dynamic Database Engineer devoted to maintaining reliable computer systems for uninterrupted workflows. Delivers up-to-date methods to increase database stability and lower likelihood of security breaches and data corruption.
Overview
6
6
years of professional experience
4
4
Certificates
Work History
Azure Data Engineer
Cognizant
Dallas, TX
03.2021 - Current
- Ingest Dynamics 365 data with ADF pipelines
- Load data into a dedicated SQL pool using the copy activity (bulk Copy)
- Orchestrate Data Movement and Transformations in Azure Synapse
- Pipelines
- Ingest data with Apache Spark pool notebooks in Azure Synapse
- Analytics
- Analyze data with Apache Spark pool in Azure Synapse Analytics
- Transform data with Data Frames in Apache Spark Pools in Azure
- Synapse Analytics
- Execute existing SSIS packages in Azure Data Factory or Azure Synapse
- Pipeline
- Parameterize ADF components
- Performing Databricks transformations with spark
- Use serverless SQL pool to Explore and Analyze data lakes Gen2(ADLS)
- Performing Production support
- Ingest data from sources such as HTTP, SFTP into
- Azure Data Lake Gen2 using Azure Data Factory (ADF)
- Using store procedures and stored procedure Activities to populate log tables
- Integrating data bricks notebooks in ELT process using ADF
- Copy data into Azure Synapse using Azure Data Factory
- Performing Production support
- Setting up Azure Data Lake Gen2 for external query
- Setting up external tables from ADLS gen2
- Creating an on-demand pool for querying ADLS gen2
- Install Azure Data Factory self-hosted integration runtime to ingest from on-premises data systems.
Azure Data Engineer
Asurion
Nashville, TN
05.2019 - 02.2021
- Ingesting Data from on premise SQL server to Azure SQL server
- Ingesting s3 data into Blob and using Dataflow to populate SQL tables
- Visualize data from Azure Synapse Analytics using Power BI
- Build Mapping Dataflows in ADF
- Using Data Migration assistance to migrate SQL server Databases
- Install Azure Data Factory self-hosted integration runtime to ingest from on-premises data systems
- Ingesting data into the Data Lake Storage (Gen2) using Microsoft Azure
- Storage Explorer
- Setting up Azure Data Lake Gen2 for external query
- Setting up external tables from ADLS gen2
- Creating an on-demand pool for querying ADLS gen2
- Install Azure Data Factory self-hosted integration runtime to ingest from on-premises data systems.
Data Analyst
NELS Healthcare LLC
Cincinnati, OH
01.2015 - 08.2017
- Data Visualization using Tableau and R
- Data Wrangling.
Education
Bachelor of Science - Accounting
University of Buea
10.2006 - 06.2009
Master of Science - Computer Science and Quantitative Methods
Austin Peay State University
Clarksville, TN 08.2017 - 05.2019
Skills
Data analysis
Certification
Microsoft AZ 900
Timeline
Azure Data Engineer
Cognizant
03.2021 - Current
Azure Data Engineer
Asurion
05.2019 - 02.2021
Master of Science - Computer Science and Quantitative Methods
Austin Peay State University
08.2017 - 05.2019
Data Analyst
NELS Healthcare LLC
01.2015 - 08.2017
Bachelor of Science - Accounting
University of Buea
10.2006 - 06.2009
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