Two examples from Alexandru-Iulian's engineering work in retail and financial services.
Retail / Cloud engineering01
Bringing operational data into everyday retail tools.
Hands-on GCP engineering connecting warehouse data, APIs and internal applications.
BigQueryPythonGCPKubernetes
Personal contribution
Designed and delivered cloud data services, data-serving APIs, ingestion flows and a delivery-calculation application for store employees.
Engineering scope
Data modeling, caching, API integration, orchestration and containerized deployment.
Delivered capability
Operational data made available to applications and workflows used by retail teams.
Financial services / Data warehousing02
Taking technical ownership of a production DWH.
Technical leadership across SQL Server, ETL processes and business-critical reporting workflows.
SQL ServerSSISAirflowSuperset
Personal contribution
Led architecture and performance work, production troubleshooting and communication with technical and business stakeholders.
Engineering scope
Stored-procedure and ingestion tuning, orchestration, CI/CD practices, standardized logging and operational documentation.
Operational responsibility
Supported critical processing periods and documented dependencies, runtimes and handover procedures.
These summaries describe the founder's personal experience across prior engagements. Client identities and internal implementation details are omitted.
A direct line from the business problem to the engineering decisions.
My background spans cloud data services, enterprise warehousing and production operations. I lead discovery, architecture and implementation. I start with measured behaviour, make the assumptions explicit and validate the result against agreed criteria. Every engagement includes the documentation needed to operate and maintain the system.