KUKhubaib User
@khubaibuser
Big Data Engineer with expertise in Cloud Computing
United StatesWhat I'm looking for
I am a seasoned Big Data Engineer with over 8 years of professional experience, specializing in building and optimizing scalable data pipelines and architectures in cloud environments like Azure and AWS. My expertise lies in transforming raw data into actionable insights through big data technologies, ETL processes, and real-time analytics solutions.
Throughout my career, I have worked with various technologies, including Python, AWS, Azure, Databricks, SQL, and Snowflake, to name a few. I have a strong background in data science and have worked on several projects, including the development of machine learning models for predictive analytics.
I am passionate about staying up-to-date with the latest technologies and trends in the field of big data and cloud computing. I am excited to bring my skills and experience to a new role and contribute to the success of a dynamic team.
Experience
Work history, roles, and key accomplishments
Big Data Engineer
Kroger
May 2023 - Present (2 years 1 month)
As a Big Data Engineer, I developed and integrated automated ETL pipelines using Azure Data Factory and Databricks, enhancing data availability and accuracy. I played a key role in ensuring product stability and scalability while assisting in machine learning model development for predictive analytics.
Big Data Engineer
FIS
Jun 2022 - May 2023 (11 months)
Collaborated on a migration project to transition the Big Data platform from Azure HDInsight to Azure Databricks. I optimized data pipelines, resulting in a 40% performance increase and 30% cost reduction, while supporting Data Science teams with their workflows.
Data Engineer
Deloitte
Nov 2019 - Jun 2022 (2 years 7 months)
Developed and maintained automated ETL pipelines using Azure Data Factory and Databricks. Implemented Spark jobs for data transformation, enhancing security and reducing costs through optimized networking and scheduling.
Data Engineer
Brighthouse Financial
Oct 2018 - Oct 2019 (1 year)
Ingested data into Redshift from Oracle using AWS DMS and optimized data pipelines for near-real-time processing. Designed Big Data pipelines using AWS EMR and implemented efficient data processing solutions.
Education
Degrees, certifications, and relevant coursework
FAST University
Bachelor's, Computer Science
MTMassachusetts Institute of Technology
Master's, Computer Science
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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