Since 2010 I have been developing with Python, first as a Tester, then since 2015 on Software Development assignments. An array of industries that include: Automotive, Aerospace & Defence, Finance & Banking, Insurance, Space & Satellite, Technology, and Transport & Logistics.
Initially I started out in the System, Requirement and Test Engineering domains, then later switched to a stronger focus on Software Engineering. In more recent years there has been a greater emphasis on Data Engineering and Data Science, as well as some focus on Machine Learning.
Technical Skills: Airflow, AWS, BigQuery, ETL Pipelines, FastAPI, Flask, Git, Linux, Parquet, Python (NumPy, Pandas, PyArrow, PySpark), Snowflake, Spark, SQL. Some exposure to: Azure, CI/CD, DevOps, Django, Docker, GCP, Hadoop, Kubernetes, Matillion, MongoDB, Neo4j
Engineering Skills: Requirement Engineering, Testing (Automation, Performance, Unittests, TDD, Performance, Last, Blackbox)
AWS Certified: Data Engineer – Spark, Hadoop, and Snowflake for Data Engineering – The Path to Insights: Data Models and Pipelines – Snowflake for Beginners: Make your First Snowsight Dashboard – Data Cleaning in Snowflake: Techniques to Clean Messy Data – Microsoft Certified: Azure Fundamentals