Position: Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 6

Certified Azure Data Engineer
Certified GCP Data Engineer
As a Senior Data Engineer at GlobusAI, I have completed several projects and tasks that have contributed to the success of the company. My main responsibilities include designing and implementing analytics platforms, automating data preparation and deployment, developing ETL pipelines, and ensuring smooth client onboarding and data migration.

One of my notable achievements was designing and implementing an analytics platform from scratch, which led to a 10% increase in client retention. To accomplish this, I utilized a range of technologies such as Airflow, Azure Log Analytics, Azure Blob Storage, MongoDB, PostgreSQL, DBT, Superset, Python, and SQL. This platform enabled seamless integrations with third-party client services through the development of scheduled and event-driven data pipelines using Azure Functions, Airflow, Logic Apps, Azure Queue Storage, Sharepoint, and Python.

I also optimized the data preparation process for Superset dashboards by implementing dimensional modeling in the data warehouse, resulting in a significant 5-fold improvement in speed. By implementing Superset dashboards with DBT and Great Expectations, I proactively monitored and enhanced the data quality of the central data warehouse, leading to a 30% reduction in report errors.

As the Senior Data Engineer, I am responsible for leading and collaborating with the product and business teams to ensure successful client onboarding and data migration. Additionally, I have automated the deployment of Power BI dashboards using Azure DevOps, Power BI REST API, and Python, resulting in a 2-fold reduction in client onboarding duration.

In terms of future improvement, I am keen on further enhancing the efficiency and scalability of the ETL pipelines by implementing CI/CD pipelines for all ETL processes using Azure DevOps. I strive to stay updated with the latest industry trends and technologies and continuously improve my skills in cloud platforms such as Google Cloud and Azure. Additionally, I aim to develop expertise in advanced data analytics techniques and machine learning to drive more impactful insights and value from the data.

Overall, I am proud of the projects I have completed and the positive impact they have had on client retention, data quality, and automation. I am excited to continue my role as a Senior Data Engineer, driving innovation, and contributing to the success of the organization.
Good team, interesting projects, moderate payment