Hi, I'm Simone —

I build systems
that hold under
pressure.

I design and optimize ETL and data integration systems across Oracle DB, Salesforce, and cloud storage. I focus on performance, scalability, and measurable impact.

See my work More about me

Pipeline Throughput — 24hLIVE

15M10M5M0

00:0006:0012:0018:00now

12.1^Mevents / day↑ 4.2%

90^savg latency↓ 98%

99.9^%SLA uptime30d avg

00:00:00[kafka]batch 14.2k msgs/s processed

00:00:00[flink]checkpoint #4821 complete

00:00:00[feature]model_v14 features synced

00:00:00[airflow]dag etl_daily finished OK

00:00:00[kafka]consumer lag: 0ms

00:00:00[dbt]mart_users materialized

00:00:00[spark]job finished 3.2TB read

00:00:00[redis]cache hit ratio 94.1%

00:00:00[snowflake]query p99 2.1s

00:00:00[flink]watermark advanced +30s

00:00:00[kafka]batch 13.9k msgs/s processed

00:00:00[feature]online serving 1.2ms p50

00:00:00[airflow]dag ml_pipeline started

00:00:00[dbt]fact_events OK 8.4M rows

00:00:00[redis]eviction rate 0.01%

00:00:00[kafka]batch 14.2k msgs/s processed

00:00:00[flink]checkpoint #4821 complete

00:00:00[feature]model_v14 features synced

00:00:00[airflow]dag etl_daily finished OK

00:00:00[kafka]consumer lag: 0ms

00:00:00[dbt]mart_users materialized

00:00:00[spark]job finished 3.2TB read

00:00:00[redis]cache hit ratio 94.1%

00:00:00[snowflake]query p99 2.1s

00:00:00[flink]watermark advanced +30s

00:00:00[kafka]batch 13.9k msgs/s processed

00:00:00[feature]online serving 1.2ms p50

00:00:00[airflow]dag ml_pipeline started

00:00:00[dbt]fact_events OK 8.4M rows

00:00:00[redis]eviction rate 0.01%

Pipeline Stats — LiveLIVE

12.1^M

events/day

↑ 4.2%

90^s

latency

↓ 98%

99.9^%

uptime

30d avg

Data EngineeringETL · IntegrationOracle DB · ODISalesforce APIsAWS S3 · OCIPython · SQL · bashDocker · Kubernetes

Selected work

Featured Projects

All projects

DataBackend

Idealista Listings Refactoring

Oracle Data Integrator constraints and a complex target API model caused the publishing flow to Idealista to degrade over time, creating large queues and operational issues for agencies.

→ 97% performance improvement

→ Queues reduced from ~8h peak to max 10m

PythonOracle Data Integrator (ODI)REST APIs

BackendData

Mail Spooler

The legacy mailing system relied on PL/SQL procedures and scheduled jobs, topping out at ~12 emails/minute and creating severe delivery delays during backlog peaks.

→ Throughput ~12 emails/min → 1000+ emails/sec

→ Eliminated peak-delay scenarios (days → near real-time)

PythonOracle SQLOracle Data Integrator (ODI)

DataBackendDevOps

Cadastral Data Import

Ingest cadastral data (Agenzia delle Entrate – Sister) delivered as files via S3, transform it through complex ETL, distribute JSON outputs to agencies, and integrate into Salesforce to automate property/client creation and updates.

→ Automated CRM registration of properties & clients

→ Reduced manual entry time for agencies

AWS S3Pythonbash (aws-cli)+2

See all projects

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