data

After 8 years in product design, I kept running into the same thing: metrics and data behind every decision. That curiosity became a second direction for me. I came to data as a designer, and Iโ€™m still hooked on it. Now I build data platforms and analytics systems instead of just asking for the numbers

.work experience

2026

Project

City Pulse NYC

Data platform ยท in progress

Data platform for New York City urban mobility (subway, bike share, taxi, weather), run like real team work: sprints, architecture decision records, SLOs. Done so far: infrastructure as code with Terraform (BigQuery datasets per layer, least-privilege service accounts, validated in CI), a config-driven ingestion platform where one YAML file onboards a source (retries, idempotent raw storage, graceful shutdown), secret scanning and CI as a merge gate. Next: Pub/Sub, Apache Beam streaming, PySpark backfills, dbt and Airflow. Stack: Python ยท Terraform ยท BigQuery ยท GitHub Actions ยท Docker

2026

Project

City Pulse NYC

Data platform ยท in progress

Data platform for New York City urban mobility (subway, bike share, taxi, weather), run like real team work: sprints, architecture decision records, SLOs. Done so far: infrastructure as code with Terraform (BigQuery datasets per layer, least-privilege service accounts, validated in CI), a config-driven ingestion platform where one YAML file onboards a source (retries, idempotent raw storage, graceful shutdown), secret scanning and CI as a merge gate. Next: Pub/Sub, Apache Beam streaming, PySpark backfills, dbt and Airflow. Stack: Python ยท Terraform ยท BigQuery ยท GitHub Actions ยท Docker

2026

Project

Kvitto Payments API

Backend ยท take-home assignment

Payments service for an online school, built as a take-home assignment for a Junior Python role: tariffs, promo codes, installments, idempotent payment creation and an HMAC-signed bank webhook with strict status transitions. Atomic status updates, Alembic migrations, Docker Compose, 94 tests and CI with ruff and pytest. Stack: Python ยท FastAPI ยท Pydantic ยท SQLAlchemy ยท pytest ยท Docker

2026

Project

Kvitto Payments API

Backend ยท take-home assignment

Payments service for an online school, built as a take-home assignment for a Junior Python role: tariffs, promo codes, installments, idempotent payment creation and an HMAC-signed bank webhook with strict status transitions. Atomic status updates, Alembic migrations, Docker Compose, 94 tests and CI with ruff and pytest. Stack: Python ยท FastAPI ยท Pydantic ยท SQLAlchemy ยท pytest ยท Docker

2026

Project

E-Commerce Analytics Platform

Data Engineer

Production-grade analytics platform combining historical e-commerce data (Olist Brazil) with live prices from the MercadoLibre Argentina API.

2026

Project

E-Commerce Analytics Platform

Data Engineer

Production-grade analytics platform combining historical e-commerce data (Olist Brazil) with live prices from the MercadoLibre Argentina API.

2026

Project

Travel Analytics Data Platform

Data Engineer

Analytics platform for a travel booking business, combining batch data, streaming events, and database changes in real time.

2026

Project

Travel Analytics Data Platform

Data Engineer

Analytics platform for a travel booking business, combining batch data, streaming events, and database changes in real time.

2025

Moscow

remote

Nova Data

Data Engineer, junior

Built a retail data platform. Set up data quality checks (deduplication, null checks, range checks) with Grafana dashboards and Telegram alerts. Built a customer segmentation data mart in PySpark with 30 behavioral features, exported to S3/Minio.

2025

Moscow

remote

Nova Data

Data Engineer, junior

Built a retail data platform. Set up data quality checks (deduplication, null checks, range checks) with Grafana dashboards and Telegram alerts. Built a customer segmentation data mart in PySpark with 30 behavioral features, exported to S3/Minio.

My toolkit: Python, SQL, and dbt for transformation, Airflow for orchestration, Kafka and Debezium for streaming and CDC, BigQuery and ClickHouse for storage, and Grafana for monitoring โ€” the full path from raw data to a dashboard someone can trust

.stack

Python logo

Python

Python logo

Python

SQL logo

SQL

SQL logo

SQL

BigQuery logo

BigQuery

BigQuery logo

BigQuery

Google Cloud Storage logo

Google Cloud Storage

Google Cloud Storage logo

Google Cloud Storage

S3 logo

S3

S3 logo

S3

Docker logo

Docker

Docker logo

Docker

PostgreSQL logo

PostgreSQL

PostgreSQL logo

PostgreSQL

ClickHouse logo

ClickHouse

ClickHouse logo

ClickHouse

MongoDB logo

MongoDB

MongoDB logo

MongoDB

Airflow logo

Airflow

Airflow logo

Airflow

dbt logo

dbt

dbt logo

dbt

Kafka logo

Kafka

Kafka logo

Kafka

Debezium logo

Debezium

Debezium logo

Debezium

Databricks logo

Databricks

Databricks logo

Databricks

Git logo

Git

Git logo

Git

Product & UX/UI Designer, Buenos Aires

Product & UX/UI Designer, Buenos Aires