Ricardo Moyer Email & Phone Number

Aided the migration of business and general-purpose data flows and pipelines from legacy systems to Dataiku, ensuring data integrity and operational efficiency. This involved utilizing Dataiku's plugins and custom Python scripts, enhancing data processing speed and accuracy. In my current role, I develop backend ETL processes to support various dashboards and business intelligence analyses. This work involves extensive use of Dataiku, Python, SQL, and the Google Cloud Platform, where I focus on optimizing data flow and ensuring robust data infrastructure for insightful business decision-making., at Axity.Key role activities: - Understanding business requirements in order to develop ETL processes based on them.- Creating, maintaining and automating backend data flows/processes for business dashboards. - Coordinating business requirements for my teams space in bigquery with the architecture team. - Perform ad-hoc data queries and analyses to fulfill specific business requests, such as extracting user lists or metrics. - Migrate ETL processes from legacy tools, namely Alteryx, to either of the new platforms: Dataiku or Dataflow-In this role, pyspark was used for data transformation steps on massive datasets where SQL was not a viable solution, making use of direct connections to bigquery to load and extract data, these processes lived in dataiku where they were tested for appropriate RAM usage and were then automated once the performance was deemed acceptable -Extensive use of SQL queries was made, it was found many BI processes were wasting resources and could be summarized in a single extensive query which could make use of bigquerie's optimized querying engine -Coordinate new Looker custom explores with BI users and the data architecture team as needed

This project was aimed at assessing how various factors impact the availability of critical resources like semiconductors and water in North America. My responsibilities entailed collecting and structuring diverse datasets, following ETL processes to process and make this data accessible and usable for the team. My expertise in data handling played a role in enabling the team to analyze and understand complex supply chain risks, guiding strategic decisions to mitigate potential shortages

Developed an innovative risk assessment framework tailored for women subjected to gender violence, enhancing the precision of needs identification and intervention planning, and conducted impact analysis through data visualization, providing insights into overall program effectiveness,

Through the Dataiku DSS data suite, I managed the processing and analysis of essential data for sales volume modeling and forecasting in a department store. This project involved the development of several visualization dashboards and an in-depth evaluation of data variables. The process included rigorous data cleansing using Dataiku's flow system, and the analysis of variables required the application of advanced statistical skills

Responsible for ensuring the quality of the training data the client will use for machine learning algorithms