c
cronosit

Vladimir T

@cronosit

Data Analytics Engineer

Turchia
Russo, Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a Data and Analytics Engineer with over 5 years of experience building data warehouses and ETL/ELT pipelines on Oracle, PostgreSQL, and BigQuery. I specialize in optimizing SQL transformations and orchestrating complex workflows with Airflow and dbt to meet strict performance SLAs.... Continua a leggere

Competenze

c
cronosit
Vladimir T
offline • 

Consulta i miei servizi

Query SQL e NoSQL
I will write, fix and optimize sql queries for your database
A partire da25 USD / progettoMaggiori dettagli
Automazioni
I will automate excel csv data processing and cleaning using python
A partire da25 USD / progettoMaggiori dettagli

Esperienza lavorativa

Outlier_AI

AI Evaluation Contractor

Outlier AI • Freelance

Mar 2026 - Present • 7 mos

Completed approximately 200 evaluation tasks analyzing LLM-agent trajectories. Developed Python and pytest verifiers and rubrics to validate outputs against deterministic ground truth. Built edge-case test sets for business-process tasks and analyzed recurring failure patterns such as hallucinations and logic errors.

CMA_CGM

Analytics Engineer(DWH)

CMA CGM • Full time

Feb 2025 - Feb 2026 • 1 yr

• Developed DWH for central-bank payment systems (clearing, IPS, RTGS) in Arab countries and Eastern Europe; platform processed ~5M transactions/day under a strict 10-minute SLA. • Gathered clients' reporting requirements, identified the required source tables and defined field-level source-to-target mappings. • Built 30+ dbt models (staging and marts) for clients' BigQuery DWH: ref/source dependencies, view, table and incremental materializations, dbt tests (unique, not_null, relationships, custom) and documentation. • Wrote SQL transformations run in dbt and Apache NiFi to produce the target data marts (Oracle to Oracle and Oracle to PostgreSQL via NiFi, Oracle to BigQuery via dbt), orchestrated with Airflow. • Implemented incremental loads keyed on a record change ID (M_CHANGE_ID) set by the OLTP source; tuned SQL and pipeline logic so every load met the SLA. • Set up data-quality controls: source-to-target row-count reconciliation, freshness checks and Airflow run-duration monitoring against the SLA. • Wrote Jira tasks for developers and business specs for stakeholders; maintained Confluence docs

Atos

Data Engineer

Atos • Full time

Mar 2021 - Feb 2025 • 3 yrs 11 mos

• Developed ETL pipelines in Python and PL/SQL for a large Oracle DWH with tables of up to 5B rows. • Owned 50+ SQL scripts and PL/SQL procedures end to end (design, optimization, refactoring); pipelines ran ~3x faster after query optimization. • Integrated data from APIs, SAP, CSV files and operational databases (MS SQL, PostgreSQL); orchestrated workflows with Airflow; enforced data-quality checks. • Built data marts and prototyped dashboards in Tableau and Qlik Sense to confirm the DWH covered clients' reporting needs.