As a Data Analytics Engineer, I am part of a internal project where I orchestrate the continuous flow of data from multiple sources (internal and external). My expertise goes beyond traditional data management techniques as I use advanced methodologies such as linear programming, along with tools such as Snowflake and Python, to optimize data workflows. Within this framework, I perform a range of operations including extraction, transformation, cleansing and complex data analysis, culminating in the derivation of measurable metrics.In addition, my responsibilities extend to working with business analysts to ensure alignment between data insights and organizational goals. This includes day-to-day communication and creation of solution documents to streamline processes and improve decision making.An integral aspect of my role involves project expansion, where I integrate additional attributes from internal modules and external sources. Leveraging API calls, I adeptly retrieve data in JSON format, enriching our dataset with diverse insights.In our quest for efficiency and effectiveness, we have explored the integration of machine learning and artificial intelligence solutions into our workflows. In experimenting with ML/AI, we have sought to automate processes.

During my time at ČSOB, a key aspect of my role was to perform in-depth analysis of application logs, which provided information about the use of the application by users. One of my contributions was the creation of Data Mart, carefully designed to centralize and organize data from disparate sources to facilitate simplified access and analysis for stakeholders across the organization.

SQL, SoapUI, Postman, Kibana, JIRA, Confluence, Application administration, agile testing