Salma Mohammed

Senior Data Engineer at Hca Healthcare

Based in Tbilisi, Georgia

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Seniority

Staff

Department

Information Technology

Location

Tbilisi

Industry

Hospitals and Health Care

Company size

144K

Contact information

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Email

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s•••••••@hcahealthcare.com

Phone

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+995 ••• •••• ••••

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Background

About Salma Mohammed

Experienced Data Analyst with a demonstrated history of working in the information technology and services industry. Skilled in Informatica, Software Development Life Cycle (SDLC), SQL, Requirements Analysis, and Teradata Data Warehouse. Strong information technology professional with a Bachelor of Technology (B.Tech.) focused in Mechanical Engineering from KL University. Confident understanding of analytical and transactional databases with Teradata-EDW,Google Cloud & Hadoop systems. Contributed towards customer identification process, combined in-house transactional information with data vendors like Amperity and Neustar to get our customer golden record and get it associated with customer transactions. Good experience in Google Cloud Platform (GCP), to design, develop and implement GCP solutions. Good experience in GCP components Pub/Sub, Cloud Storage, BigTable, BigQuery, Composer and sftp. Good Experience in implementing Data Pipelines leveraging Google Cloud products such as Cloud BigQuery, Cloud function, Cloud Pub/Sub, Apache Airflow. Composer, Stack Driver. Strong background in Python programming and SQL skills. Good understanding of Google best practices, aligned with the customer requirements to deliver gcp solution. Good experience in implementation/migration of a Data Warehouse and Big Data Hadoop project from on-prem to GCP. Follows best practices, coding standards and code reviews. Construct data-pipelines by developing Python DAG jobs and deploying onto Apache Airflow (GCS). Following Agile methodology, Sprint Grooming and Sprint planning sessions. Collaborates with team members and data engineers to creative design approaches for implementing solutions. Develop dashboards using google data.

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