Data Engineer

Performed discovery and data-governance process mapping, assessing Databricks capabilities and producing platform adoption guidelines and recommendations. Structured data product proposals, governance practices, committee models, KPI definitions, ROI evaluation methods, process flows, and implementation plans.

Migrated four Apache Airflow DAGs from Singer to dlt for IoT sensor API ingestion, including technical validations and production release to Azure. Analyzed Azure Data Factory pipelines, notebooks, and dependencies for migration to Databricks; adapted assets and submitted changes through Azure DevOps pull requests.

Developed a Streamlit application in Snowflake for supplier spreadsheet collection and validation. Created Neo4j and Streamlit dashboards to analyze pipelines, notebooks, and upstream/downstream dependencies, and automated discovery workflows using Google Apps Script and generative AI.

Managed a portfolio of up to 25 B2B clients, following projects, requirements, and technical integrations.

Worked with technical and business teams on SIEM-related needs, customer communication, project follow-up, and adoption support.

Structured customer support processes, onboarding procedures, ticket management, and knowledge-base practices.

Supported payment gateway operations, APIs, and integrations with e-commerce platforms and marketplaces.

Provided end-user support and resolved technical incidents involving Windows, networks, hardware, software, and connectivity.

Assisted users with troubleshooting, issue resolution, and day-to-day IT service operations.

Postgraduate studies in Business Administration.

Undergraduate degree in Information Technology Management.