Esther-Alexandra Ngaleba-Ze

Data Engineering Intern

Company: WatchCharts (via WeCloudData)
Years: Jan 2024 – Mar 2024

• Built end-to-end cloud-based data pipelines for luxury watch data ingestion using Python, Scrapy, Selenium, BeautifulSoup.
• Used Apache Airflow (via Docker on AWS EC2) for orchestration, and PostgreSQL/S3 for storage.
• Integrated marketplace data into WatchCharts’ pricing intelligence system.

Data Cleanser Specialist

Company: IPEX (via PrecisionERP)
Years: Mar 2023 – Nov 2024

• Led data cleansing and transformation efforts for SAP data migration projects.
• Used advanced Excel, collaborated with SAP teams, and applied governance standards to ensure high-quality logistics and customer master data.

SAP Data Services Developer

Company: SAAQ (via VisionSoft Canada Inc.)
Years: Nov 2021 – Aug 2022

• Developed and optimized ETL pipelines using SAP Data Services, SQL, and S/4HANA integration.
• Automated workflows, validated large datasets, and ensured seamless data migration from legacy systems.

Database Administrative Assistant

Company: OMERS (via Hays)
Years: Oct 2021 – Jul 2022

• Spearheaded data cleansing initiatives in Microsoft Dynamics CRM, eliminating duplicate records and improving reporting accuracy.

CRM Database Specialist

Company: Porsche Cars Canada Ltd (via Adecco)
Years: Jan 2021 – Jul 2021

• Led CRM data quality projects, improved marketing data accuracy, built dashboards in Excel/PowerPoint, and enriched client records via SAP and external data sources.

Data Analyst I

Company: GE Grid Solutions (via Abacus Service Corporation)
Years: Aug 2020 – Nov 2020

• Extracted and analyzed operational data from Salesforce and Excel; collaborated with global teams to improve reporting and data reliability.

Data Input Associate

Company: LinkedIn (via Swoon)
Years: Feb 2020 – May 2020

• Researched and updated account hierarchies in Salesforce, ensuring cleaner customer data for improved sales performance.

Bilingual Data Associate

Company: Amazon Canada (via Collabera)
Years: Feb 2019 – Jan 2020

• Contributed to language model training through data annotation and content review, supporting voice-controlled AI product development.

Applied Data Engineering Diploma

School: WeCloudData
Years: Apr 2023 – Oct 2023

• Built full-stack data solutions using AWS (EC2, S3, EMR, Glue, Lambda), Airflow, Snowflake, Databricks, and Apache Spark.
• Midterm Project: Created a cloud-based pipeline using PySpark, Snowflake, and Power BI to extract, transform, and visualize data.
• Final Project: Built a real-time GPS data pipeline using Apache NiFi, Debezium, Kafka (MSK), Spark Streaming, and Superset.

IBM AI Engineering Professional Certificate

Institution: IBM (via Coursera)
Years: Sept 2022 – Present

• Completed coursework on machine learning, deep learning, and AI model development, gaining hands-on skills with tools like Scikit-learn, TensorFlow, and Jupyter Notebooks.

Excel to MySQL: Analytic Techniques for Business Specialization

Institution: Duke University (via Coursera)
Years: May 2019 – Apr 2020

• Capstone Project: Served as a data analyst for a property management firm:
• Extracted data from MySQL, built financial models in Excel to analyze conversion to short-term rentals.
• Created a dynamic Tableau dashboard with sensitivity analysis to support strategic decisions.

Bachelor of Commerce (Honors), Minor in Economics

University: McMaster University
Years: Sept 2008 – Nov 2012

• Acquired a strong foundation in business, accounting, and economics.
• Developed early analytical and problem-solving skills applicable to business-focused data roles.