Sumanth Reddy Email & Phone Number | •Demonstrated expertise in ETL and ELT with 5 years of hands-on experience in analyzing, designing, developing, and documenting data warehousing solutions and strategies for financial, insurance, and healthcare data. •Proficient in using ETL tools Ab Initio and Informatica (IICS) with extensive experience in data transformation, data ingestion, data quality and balancing, data masking, and data modeling domains. •Possess 1 year of experience in the GCP platform in the development and maintenance of Airflow DAGs, data fusion pipelines, and python scripts for daily ETL processes. •Expert in detecting and correcting data inconsistencies across integration points within complex data pipelines, ensuring accurate and reliable data delivery. •Extensively worked with python libraries such as Numpy, Pandas, Tensorflow, Sklearn, and Biopython for academics. •Experienced working in fast-paced, Agile environments and collaborating with cross-functional teams to deliver high-quality solutions in a timely manner.

Sumanth Reddy

•Demonstrated expertise in ETL and ELT with 5 years of hands-on experience in analyzing, designing,...
Chicago, Illinois, United States

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Sumanth Reddy’s Email snukala@kemper.com

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Sumanth Reddy’s Location Chicago, Illinois, United States

Sumanth Reddy’s Current Industry Kemper

Sumanth Reddy’s Prior Industry University Of Colorado Anschutz Medical Campus | Accenture

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Developer 3, Applications

2023-07-01 00:00:00 - Present

Data Engineer

2020-09-01 00:00:00 - 2021-05-01 00:00:00

ETL Developer

2016-12-01 00:00:00 - 2019-06-01 00:00:00

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Sumanth Reddy is a •Demonstrated expertise in ETL and ELT with 5 years of hands-on experience in analyzing, designing, developing, and documenting data warehousing solutions and strategies for financial, insurance, and healthcare data. •Proficient in using ETL tools Ab Initio and Informatica (IICS) with extensive experience in data transformation, data ingestion, data quality and balancing, data masking, and data modeling domains. •Possess 1 year of experience in the GCP platform in the development and maintenance of Airflow DAGs, data fusion pipelines, and python scripts for daily ETL processes. •Expert in detecting and correcting data inconsistencies across integration points within complex data pipelines, ensuring accurate and reliable data delivery. •Extensively worked with python libraries such as Numpy, Pandas, Tensorflow, Sklearn, and Biopython for academics. •Experienced working in fast-paced, Agile environments and collaborating with cross-functional teams to deliver high-quality solutions in a timely manner.