Mubariz Mubarak
Summary
Highly skilled and experienced Big Data Engineer with 12 years of industry experience in data engineering, digital transformation, and manufacturing analytics. Proficient in MSSQL, IoT technologies, data analysis, trend reporting, Power Automate, and Power Apps. Seeking full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Data Engineer
Skyworks Global
04.2023 - Current
- Led data engineering initiatives to streamline data collection, ingestion, and processing, resulting in improved operational efficiency and data accessibility
- Designed and implemented custom data pipelines and ETL processes using Python, PySpark, MSSQL, and other tools to meet business requirements
- Conducted data analysis and trend reporting to provide insights for decision-making processes
- Developed and maintained data visualization dashboards using Power BI, JMP, and Tableau, enabling stakeholders to make informed decisions
- Utilized Power Automate and Power Apps to automate and streamline data workflows and processes
- Spearheaded digital transformation projects focused on productivity monitoring and improvement, anomaly detection, and pattern recognition
- Collaborated with cross-functional teams to ensure smooth deployment and adoption of new solutions, including IoT technologies.
- Communicated new or updated data requirements to global team.
- Designed and implemented effective database solutions and models to store and retrieve data.
- Collaborated on ETL tasks, maintaining data integrity and verifying pipeline stability.
- Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.
- Collaborated with data scientists to develop machine learning models by providing the necessary data infrastructure and preprocessing tools.
Data Engineer
Medtronic
08.2015 - 04.2023
- Collaborated with data scientists to develop machine learning models by providing the necessary data infrastructure and preprocessing tools.
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
- Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.
- Prepared documentation and analytic reports, delivering summarized results, analysis and conclusions to stakeholders.
- Used GDP on validation protocols, test cases and changed control documents.
- Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
- Collaborated with system architects, design analysts and others to understand business and industry requirements.
- Led end-to-end implementation of multiple high-impact projects from requirements gathering through deployment and post-launch support stages.
- Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.
- Collaborated with cross-functional teams for seamless integration of data sources into the company''s data ecosystem.
Education
Bachelor of Science - Electrical And Electronics Engineering
Tessiede University
01.2022
Diploma in Bio Medical Electronics
Republic Polytechnic
Singapore02.2012
Skills
- Python
- MSSQL
- Data Migration
- Data Modeling
- Data Analytics
- Big Data Processing
- Real-time Analytics
- ETL development
- Scripting Languages
- Data Mining
- Agile Methodology
- Proficient in data analysis and trend reporting
- Experience in DevOps deployment
- Hive
- Key Performance Indicators
- Teamwork and Collaboration
Certification
Python for Analytics Certification, DataCamp, [2022]
References
Available upon request
Timeline
Data Engineer
Skyworks Global
04.2023 - Current
Data Engineer
Medtronic
08.2015 - 04.2023
Bachelor of Science - Electrical And Electronics Engineering
Tessiede University
Diploma in Bio Medical Electronics
Republic Polytechnic
Python for Analytics Certification, DataCamp, [2022]
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