Gulzar Khan
Staff Data Engineer at Walmart Global Tech India
Based in Mumbai, India
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Seniority
Other
Department
Other
Location
Mumbai
Industry
Software Development
Company size
11K
Contact information
Reveal Gulzar's email and phone
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g•••••••@tech.walmart.com
Phone
5 credits+91 ••• •••• ••••
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Background
About Gulzar Khan
As a data engineer/architect I have developed a deep passion for creating scalable and efficient data architectures. My expertise lies in building robust data pipelines and implementing complex ETL processes that enable organizations to extract value from their data. In my current role I am responsible for designing building and maintaining the data infrastructure for a large healthcare system. I work closely with data scientists analysts and other stakeholders to understand their data needs and translate them into scalable solutions. This involves designing data models optimizing database performance and creating automated data pipelines that process terabytes of data every day. My experience has also taught me the importance of data quality and governance. I am skilled in developing data quality frameworks that ensure data accuracy completeness and consistency. I have experience in implementing data security protocols and compliance standards. I have a strong technical background with expertise in various data technologies such as SQL NOSQL Hadoop Spark and AWS/GCP. I am proficient in programming languages such as Java and Scala. In addition to my technical skills I am an excellent communicator and collaborator. I have experience working in cross-functional teams and presenting technical concepts to non-technical stakeholders. I am comfortable working in an agile environment and have experience in using agile methodologies such as Scrum and Kanban. I am constantly learning and staying up-to-date with the latest data technologies and industry trends. Overall I am a passionate and dedicated data engineer in creating scalable efficient and secure data architectures. I am confident in my ability to design and implement data solutions that can help organizations extract value from the data and make data driven decisions. Have worked in different domains like Banking Retail IS etc.
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