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I'm a data engineer with a passion for the world of data and 4 years experience in this exciting field. My career path has enabled me to develop…
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I'm a data engineer with a passion for the world of data and 4 years experience in this exciting field. My career path has enabled me to develop solid skills in data analysis and the visualisation of clear, relevant information.
I have acquired in-depth knowledge of data analysis tools such as Talend, Python and SQL, which enables me to extract meaningful information from raw data. My inquisitive and analytical mind drives me to explore new methods and techniques to improve the quality of my analyses.
Identify and solve technical problems related to the operation of database management systems (DBMS).
Migration and integration of various data sources on Talend to facilitate access to information.
Corrected, modified and upgraded software to improve performance. Upgrade Talend v6 to v8.
Implementation of best practices in the management and processing of sensitive or personal data.
Designed and developed data pipelines to acquire, clean and process data with Airflow.
Development of scripts and tools to automate data extraction, transformation and loading (ETL) using Python and PANDAS.
Developed and maintained data warehouses to support business operations.
Optimization of SQL queries to improve efficiency and reduce processing time.
Set up stored procedures, triggers and functions to automate business processes.
Creation of interactive dashboards to facilitate management decision-making with Power BI.
This IBM Professional Certificate is earned after successfully
completing 9 courses on various topics in Data Analytics. The learner
understands the core principles of data analysis and has worked
hands-on with a variety of data sources, project scenarios, and data
analysis tools, including Excel, SQL, Relational Databases, Python,
Jupyter Notebooks, and Cognos Analytics, gaining practical experience
with data manipulation, data analysis, and data visualization. The
earner of this Certificate has demonstrated proficiency in applying
different analytical techniques by analyzing real-world datasets,
creating visualizations & interactive dashboards, and presenting
reports to share findings of data analysis, and is now equipped with
skills for an entry-level role in data analytics.
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