Jerry Chu
EXPERTISE
BIO
I’m excited to apply for the Data Engineer role at Techamana. With 10+ years of experience in data engineering, I’ve built scalable ETL pipelines, optimized workflows, and worked with large datasets. At Canada Direct, I managed data ingestion, transformation, and visualization using SQL, Power BI, and Python. I’ve also used Azure Synapse, Data Factory, and DevOps tools to build reliable, automated solutions. I’m especially drawn to Techamana’s focus on data-driven innovation. I’d love the opportunity to contribute and grow with your team.
WORK EXPERIENCE
AI Trainer
Data Annotation Tech.
June 2023 - Present
1. AI Model Training & Evaluation • Designed and implemented training scenarios for AI models in data analysis, data visualization, and coding projects, incorporating real-world scenarios to enhance practical applicability. • Created complex, domain-specific questions to assess AI performance, systematically evaluating responses against key criteria such as instruction adherence, honesty, and appropriateness. • Identified and reported AI performance metrics, documenting areas of success and improvement to refine training methodologies. • Enhanced AI model response accuracy and consistency by systematically refining training inputs and evaluation metrics. 2. Issue Identification & Resolution • Diagnosed and reported technical issues such as external API timeouts, incorrect language usage, and formatting errors, collaborating directly with project leaders to troubleshoot and enhance model performance. • Maintained detailed logs of recurring bugs and system limitations to facilitate continuous improvement cycles. • Contributed to the reduction of critical system errors by effectively communicating identified bugs to technical teams, improving overall project efficiency. 3. Collaboration & Strategic Planning • Collaborated with project leaders to develop specialized training protocols for mathematics, language processing, and advanced coding tasks. • Provided data-driven recommendations on training material sourcing, evaluation accuracy, and feedback methodologies, optimizing model learning processes. • Conducted periodic reviews and strategy sessions with cross-functional teams to align training objectives with project goals, driving measurable improvements in AI model performance. • Participate in collective problem-solving sessions, perform peer code review, and offer ideas for improvements Communicate, negotiate and interact with senior management and always work in a multi-function environment. • Played a pivotal role in advancing AI capabilities by devising innovative training techniques tailored to specific project requirements.
Data Engineer
Canada Direct Database Marketing Inc.
July 2018 - May 2023
1. Data Engineering & ETL Development • Working as Data Engineer with SQL Server, Azure Synapse, Pipeline, Data Lake, Blob Storage, Container, Logic App, SFTP, SSRS, Power BI, C#, Python, JSON, EXCEL, CSV, Delta and Parquet. • Designed and implemented ETL workflows to extract, transform, and load data from diverse sources into report service databases, employing tools such as SQL Server, Azure Synapse, and Blob Storage. • Developed automated processes to migrate on-premise data to Azure databases and Blob Storage, leveraging Synapse Pipelines to transform raw data into gold-standard datasets. • Proficient in distributed computing principles and hands-on experience with PySpark for large-scale data processing. 2. Data Analysis & Insights • Processed and analyzed large, complex datasets using T-SQL, generating actionable insights and producing comprehensive standard and ad hoc reports for senior management and executives. • Built dynamic dashboards and reports using SSRS, Power BI, and C#/Hangfire, including CPA Reports, Cohort Analysis, Customer 360, Enrollment Metrics, and Customer Churn Reports. • Experienced Data Architect with strong expertise in understanding user requirements, data modeling, and implementing best practices using Kimball and Inmon methodologies. Skilled in designing efficient schemas, including Star Schema, Snowflake Schema, and handling Slowly Changing Dimensions (SCD). 3. System Optimization & Troubleshooting • Maintained and optimized existing reports for accuracy and relevance by enhancing data visuals, adding critical metrics, and improving formatting and styling. • Diagnosed and resolved system errors by conducting root cause analyses and collaborating with relevant teams to implement corrective actions. 4. Collaboration & Agile Development • Actively participated in Agile workflows, collaborating with cross-functional teams and stakeholders to plan, execute, and troubleshoot project deliverables. • Conducted peer code reviews, contributed to team problem-solving sessions, and recommended improvements to enhance development processes and outcomes. 5. Communication & Leadership • Engaged with senior management and multi-functional teams to align on project goals, negotiate priorities, and deliver impactful data solutions. • Fostered a culture of collaboration and continuous improvement within the team, driving operational efficiency and project success.
Data Analyst
China Mobile Communications Group Co., Ltd.
September 2009 - April 2017
1. Requirement Analysis & Communication • Collaborated with Marketing departments to gather and document product development requirements, ensuring alignment with business objectives and data-driven insights. 2. Data Interaction & Visualization • Leveraged JavaScript, jQuery, AJAX, T-SQL, and JSON to retrieve and process backend data, presenting insights using visualization libraries like D3.js and Python-based tools for intuitive data representation. • Designed and developed data visualization products, enhancing decision-making capabilities across business units. 3. Data Preprocessing & Modeling • Employed T-SQL and Python for data preprocessing, enabling efficient data flow and analytics to support marketing initiatives. • Developed machine learning models using Scikit-learn, PyTorch, and SciPy libraries to implement classification and prediction algorithms, improving precision marketing strategies. 4. Marketing Analytics & Optimization • Applied association rule algorithms to optimize product packaging and sales strategies, identifying the most effective distribution channels to maximize revenue. • Analyzed customer aggregation data to guide targeted advertising, determining optimal locations for ad placement and delivering personalized product advertisements based on online behavior. 5. Project Management & Collaboration • Formulated development plans and coordinated with cross-functional teams to ensure timely delivery of projects, meeting high-quality standards. • Engaged with stakeholders to ensure the integration of business requirements into technical solutions, driving marketing performance improvements.
EDUCATION
Master’s Degree
Guangxi University, June 2009
Computer Science
Bachelor’s Degree
Hunan University of Science and Technology, June 2005
Information And Computing Science
Adult Continuing Education
John Abbott College, October 2018
Internet Programming And Development (a.e.c)
CERTIFICATIONS
AWS Data Engineer – Associate
Amazon Web Services Training and Certification
Issued: 2/15/2025 - Expires: 2/15/2028
Credential ID: https://www.credly.com/badges/b6147337-1356-4feb-a3b5-253bf68408e2
Google Data Analytics Professional Certificate
Issued: 1/13/2025
Credential ID: https://www.coursera.org/account/accomplishments/professional-cert/4P9SN2SQZG9K
Querying Data with Transact-SQL Certificate
edX
Issued: 3/28/2019
Credential ID: https://courses.edx.org/certificates/aac9247677154c148fff62f52c0e5850
Verified Data Engineer
8+ years of experience
Preferred commitment: Full Time
Languages
Skills
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