Alex Nigus

Worked on Azure Machine Learning and AI projects, focusing on client insight (CRM) development. Developed ETL processes and pipelines using Azure Synapse notebook, PySpark, and Azure Data Factory.

Built event-driven streaming pipelines using Azure Event Hubs and Azure Databricks to ingest and process data. Developed ETL using ADF, Azure Synapse, and Azure Databricks for batch processing.

Converted Informatica processes to Python, creating file export automation from Informatica and SFTP servers. Developed a logging mechanism for the converter and Jenkins jobs for automation.

Developed web applications and RESTful APIs using Django and Django REST Framework, implementing session management and authentication. Involved in the development of automation functional unit testing using Python and Selenium.

Developed RESTful APIs using Django and Django Rest Framework, automating data transfer from API Postgres DB to SFTP. Created webhooks and supported production microservices using Splunk and Kibana.

Created and automated functional unit testing for an Excel add-in application using Python and C#. Migrated database objects from on-premise to Microsoft Azure and enhanced performance of existing stored procedures.

Collected and transformed data from various sources using SSIS and Pandas, transferring it to a SQL Server data warehouse. Performed data manipulation, analysis, and visualization using Python packages.

Developed interactive web applications for universities, hospitals, and insurance companies using HTML, CSS, JavaScript, and Java frameworks. Created ETL packages with various data sources and performed data transformations using SSIS.

Completed a Master of Engineering degree, focusing on advanced engineering principles and applications. Gained in-depth knowledge and practical skills relevant to the field.

Obtained a Bachelor of Science degree in Information Technology. Developed a strong foundation in IT concepts, systems, and applications.