Davide Scuteri Moretti

Conceived OCTAVIA as a computational method for transforming dispersed enterprise information into governed, reproducible and reusable knowledge structures: source-preserving Bronze ingestion, task-based semantic decomposition, Silver entity reconstruction, Gold metrics and analytical products, metadata-driven execution, drift management, executable quality and lineage, privacy engineering, selective quarantine and controlled publication.

Designed the end-to-end architecture for acquiring, governing and transforming OME-Zarr scientific-imaging packages into OCTAVIA Data Objects. PostgreSQL manages batches, state, staging, audit and lineage; object storage retains OME-Zarr assets, CSV publication packages and Parquet datasets; Airbyte acquires, Airflow orchestrates, Python interprets OME-Zarr structures and Spark materialises. Reference workload: 40 metadata nodes, 18 multidimensional arrays, six scales per scientific product and 41,116 expected chunks. Delivered for Clepio Biotech, an academic spin-off of the University of Florence born of research between the University, LENS and the CNR, and extended internationally through the EIC Transition project 3D PATH with the University of Bern.

Designed a deliberately evidential, source-aligned and non-relational Bronze layer with wide Data Objects, task-based provenance (TASK and TASK_COLUMN), and strict rules: no foreign keys among Bronze Data Objects, no central event hub, no silent normalisation of source identifiers, no loss of original payloads. Silver adds source evidence, field lineage and auditable match decisions. The governed NUE 112 historical corpus supports algorithm evaluation, semantic research, simulation and benchmarking within an engineering ecosystem rooted in Beta 80's Politecnico di Milano origins and its university relationships.

Designed the architecture for populating an analytical pharmaceutical-consumption domain from AL healthcare Data Objects: 59 field-level rules, 10 logical source domains, 5 target Data Objects and 17 transformation categories. A modular Python ETL turns the Excel mapping matrix into executable metadata; deterministic business-key hashes support idempotent MERGE and safe replay. Positioned institutionally as a strategic information foundation for IFO — a dual-IRCCS research hospital comprising the Istituto Nazionale Tumori Regina Elena and the Istituto Dermatologico San Gallicano — giving executive management, hospital pharmacy, clinical departments, finance and research leadership a governed common language for consumption, cost, budget and forecast, and making the domain research-ready for IFO's academic network (Sapienza, Tor Vergata, Roma Tre, Siena, L'Aquila, Unitelma Sapienza, Campus Bio-Medico, Cattolica del Sacro Cuore and others).

Designed an implementation-oriented catalogue of the principal objects and fields of the OMOP Common Data Model, specifying for each field the category and table, datatype, required status, key membership, references, semantic domain, interpretation, ETL conventions and formal-specification reference.

Designed the integration of ServiceNow into OCTAVIA as a computational representation of work, service, time, risk, identity, topology and knowledge — eight semantic Data Objects rather than a ticketing replica — balancing semantic fidelity against governance and consumption complexity.

Programme PR Calabria FESR FSE 2021–2027, project code J49I24001710005. Defined the architectural framework connecting biomedical experimentation, clinical information, biological samples, genetic analysis, Raman spectroscopy and machine-learning validation, separating direct patient identity from laboratory sample identity through pseudonymised identifiers.