I am a data engineer with over 3 years of experience in designing, building, and maintaining scalable and secure data pipelines, ETL/ELT solutions, and data visualizations. My technical expertise includes using Python, SQL, and cloud computing services such as Microsoft Azure (Virtual Machine, SQL Database, Databricks, Data Factory, DevOps) and Google Cloud Platform (Cloud Storage, BigQuery, Cloud Functions, Pub/Sub, Dataflow, Data Studio/Looker Studio), as well as Snowflake for data analytics and engineering. I am also certified in Alteryx, dbt, Matillion, and Snowflake.Prior to my career in data engineering, I spent 3 years as a software engineer working on maintenance and feature development in C++ and Python. This experience has given me strong troubleshooting and coding skills that I have brought to my data engineering role. As a software engineer, I was trained to analyze and debug code to identify and fix problems, skills that have proved invaluable in designing, building, and maintaining data pipelines and ETL/ELT solutions.Overall, I have 6 years of experience in the IT industry, with 3 years as a software engineer and the recent 3 years as a data engineer. I enjoy collaborating with cross-functional teams such as dataops developers, data analysts, data scientists, and business stakeholders to understand their data requirements and deliver solutions that meet their needs.
