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Data scientist with hands-on experience working for a diverse clientele in e-commerce, investment banking, utility, energy, payment, and consulting domains. Adept at data visualization, machine learning, and the storytelling of actionable insights that drive business growth.

 4+ years of experience in working with big data platforms like Hadoop, Spark, and Hive for processing large-scale datasets. Proficient in designing and implementing scalable and reliable data architectures using cloud-based services like AWS, Google Cloud, and Azure. Skilled in data visualization using tools like Tableau, Power BI, and D3.js to effectively communicate insights and findings to stakeholders. Experienced in data quality management and data governance practices to ensure data accuracy and compliance. Strong understanding of machine learning algorithms and techniques, with experience in implementing data-driven solutions for predictive modeling and analysis. Proven ability to work in cross-functional teams and collaborate effectively with business stakeholders, data scientists, and software developers. Adept at identifying and resolving data quality issues, ensuring accuracy and completeness of data for downstream analytics and reporting. Experienced in working with both structured and unstructured data, as well as a variety of data storage and processing technologies such as Hadoop, Spark, and AWS services. Skilled in designing and implementing scalable and efficient data solutions to support business needs, with a focus on performance optimization and cost reduction. Knowledgeable in data security and privacy regulations, and able to implement appropriate security measures to protect sensitive data. Effective communicator and collaborator, able to work closely with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions that meet their needs. Experienced in using Jira for agile project management, issue tracking, and team collaboration. Proficient in configuring Jira workflows, issue types, custom fields, and project permissions to meet project requirements. Experienced in using Confluence as a collaborative wiki for documentation, knowledge sharing, and team communication. Proficient in creating and organizing Confluence spaces, pages, and templates to support project documentation and workflows. Experienced in using Git and version control systems, such as GitHub and Bitbucket, for source code management, collaboration, and continuous integration and deployment. Proficient in creating and managing Git repositories, branches, tags, and pull requests. Skilled in configuring and using CI/CD tools, such as Travis CI and Jenkins, to automate the software development and deployment process. Experienced in designing and implementing relational and non-relational databases, such as MySQL, PostgreSQL, and MongoDB, to support data-driven applications and systems. Proficient in creating and optimizing SQL queries and stored procedures to extract and transform data. Skilled in database administration tasks, such as backup and recovery, performance tuning, and security management. Proficient in data warehousing concepts and technologies, including data integration, data aggregation, and data governance. Experienced in developing and maintaining data quality standards and processes. Skilled in building and optimizing data pipelines for large-scale data processing and analysis. Expertise in designing and implementing scalable and efficient data storage solutions. Proven ability to collaborate with cross-functional teams and stakeholders to understand business requirements and deliver data-driven solutions. Familiarity with cloud-based data platforms such as AWS, Azure, and Google Cloud. Strong analytical and problem-solving skills, with a keen eye for detail. Knowledge of machine learning and data science concepts, with experience in deploying models to production environments. Proficient in data visualization tools and techniques to effectively communicate insights to stakeholders. 

Experienced data engineer/software developer with 5+ years of experience in medium and large-size companies, master’s degree in computer application and information technology. Proficient in understanding and analyzing complex systems to deliver process and tool improvements. Hands-on experience with AWS cloud and Snowflake. Acquired certificates for AWS Cloud practitioner, Snowflake SNOWPRO, Snowflake Data warehouse, and Snowflake Data Application. Excellent verbal and written communication skills. Resourceful and goal-oriented as well as a team player. Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills.

Dynamic and skilled Data Engineer with a solid background in various programming languages including C++, Java, and Python, and proficient in SQL, Microsoft Office, Power BI, and Tableau. Graduated from the University of Michigan-Dearborn with a Master’s in Data Science, boasting a strong academic record (GPA: 3.4). My tenure at Kelly Services in Michigan (May 2023 - December 2023) honed my abilities in leveraging DataBricks for efficient data processing and transformation, and in developing PySpark scripts to solve complex engineering problems. Experienced in collaborating within teams to design and optimize data pipelines, I excel in using Python and SQL for data manipulation and analysis, contributing significantly to data-driven decision-making processes. My career is further complemented by industry certifications in Microsoft Azure Fundamentals and as a Data Bricks Certified Data Engineer Associate, underlining my commitment to staying at the forefront of data engineering innovation.

Detail-oriented and dedicated data engineer with almost 2 years of proven track record in architecting robust data ecosystems and optimizing pipelines. Proficient in ETL processes, data warehousing, and cloud technologies, aiming to apply expertise in developing efficient data solutions. Seeking a role to collaborate within a data-centric team, driving innovation, and leveraging data-driven strategies to fuel organizational success and growth.

Jay Ye

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Data Engineer

Youth Group Volunteer

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Bachelor of Science - Computational Science

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Youth Group Volunteer

Data Engineer

Bachelor of Science - Computational Science

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