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Bartech Staffing / Corporate Headquarters, MI

4.67
from 6179 reviews
96% highly recommended
 
Rating Breakdown
5 star
6,608 4 star
1,729 3 star
350 2 star
87 1 star
40
Traits

Genuine

4.74

Responsive

4.70

Experienced

4.68

Advisor

4.58

Transparent

4.63
People Who Recommend
96%
Reviews in Last 12 Months
291
Reviews
Rating Past 12 Months Bartech Staffing continuously reviews to keep ratings current.
4.66 from 291 reviews

David P. Level 4 Lead Installer 5.00

9 months ago

About Barry Andis:

Barry went out of his way to helpe finish my resume wich is more than most requiters do
Highly Recommended

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EUGENIA D. Senior Infrastructure Engineer 5.00

9 months ago

About Jillian Dunn:

Jillian was very professional and knowledgeable about the overall experience and made me feel positive about landing the job.
Highly Recommended

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Andrew S. Quality Control Manager Project Engineer 5.00

9 months ago

About William Payton:

Highly Recommended

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SERGIU M. DRE/Pack Lead LV Battery 5.00

9 months ago

About Jillian Dunn:

Professional
Highly Recommended

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Sai K. Senior SAP Analyst 5.00

9 months ago

About Barry Andis:

Great response
Highly Recommended

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Mohamed F. Software Test AND Validation Engineer 5.00

10 months ago

About Jillian Dunn:

Highly Recommended

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Osama K. Data Analytics Intern 5.00

10 months ago

About Barry Andis:

Highly Recommended

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Scarlet M. Lead Production Supervisor/WMS Specialist 5.00

10 months ago

About Jillian Dunn:

Highly Recommended

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Alfredo C. Market Risk Manager Crude AND Products 5.00

10 months ago

Highly Recommended

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Nicolas R. Senior Data Engineer Cloud AND Data Platform Leader 5.00

10 months ago

About Barry Andis:

Senior Data Engineer with 9+ years of experience designing scalable data pipelines, optimizing ETL workflows, and building analytics platforms. Skilled in Python, SQL, Spark, and Airflow, with deep expertise in cloud data solutions (AWS, GCP), data lakes, and warehouse technologies like Snowflake and Redshift. Proven track record in enabling data-driven decisions, improving pipeline efficiency, and leading cross-functional data initiatives in fast-paced environments.
Highly Recommended

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