QA Lead / Data QA Engineer

I worked within the Data Engineering team for IWG / Regus' Andromeda enterprise data platform. I validated end-to-end ingestion, ETL/ELT pipelines, downstream transformations, and releases across DEV, UAT, TEST, and PROD environments using Azure Databricks, SQL, Databricks SQL, PySpark, and Python.

I performed source-to-target reconciliation, row-count, duplicate, null, schema, primary-key, and referential-integrity checks across landing, raw, curated, and conform data layers. I created reusable Databricks validation notebooks, investigated production discrepancies, reviewed pull requests against Jira acceptance criteria, and supported technical notebook fixes and refactors.

I tested Power BI reports, datasets, semantic models, filters, slicers, visualizations, and performance. I reconciled report data with backend SQL data and legacy QlikView reports, used DAX Studio to assess DAX queries, and documented test evidence, defects, assumptions, and findings in Jira and Confluence.

I designed, executed, and documented functional, regression, and system integration tests for e-commerce frontend, backend, and API components. I validated business flows, backend behavior, and database results using SQL, Postman, SoapUI, and TestRail.

I created and maintained test cases, test executions, and regression suites aligned with product requirements and acceptance criteria. I reported and tracked defects in Jira, documented technical evidence in Confluence, and collaborated with developers, product owners, and QA colleagues throughout Agile sprint delivery and release validation.

I supported data analysis and automation initiatives by developing Python scripts for data extraction, transformation, analysis, and visualization.

I applied data mining, text analysis, NLP, web scraping, data preprocessing, and machine learning concepts to structured and unstructured datasets. I used Python-based analytical workflows along with Tableau and Datawrapper to support insight generation.

I executed functional, system, regression, unit, and UAT testing for JD Edwards applications, reports, tables, views, and business processes. I validated data outputs, report results, and application behavior through SQL queries and structured testing evidence.

I prepared UAT scenarios, supported business users throughout acceptance cycles, and followed issues through resolution. I managed incidents and defects using ServiceNow, Jira, and HP ALM, while producing functional and technical documentation for test results, business scenarios, and validation evidence.

I supported tax and administrative operations by preparing national, provincial, and municipal tax filings. I also handled client documentation, collections, payments, and banking records.

I worked directly with clients, accounting documentation, regulatory deadlines, and operational controls, building strong business, financial, and compliance knowledge.

Master in Big Data and Data Science.

Public Accountant degree.