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vadym_samson

Vadym S.

@vadym_samson

Data Engineer Python, SQL, AWS, Databricks ETL, APIs and Automation

Ucrania
Inglés, Ucraniano
Parte de la información aparece en idioma inglés.
Sobre mí
Hi! I'm Vadym, a data engineer with 5+ years of experience building data pipelines, automations and analytics for e-commerce, hospitality and marketing teams. I help startups and small teams get their data in order: pull it from APIs, databases and reports, clean and model it (Bronze/Silver/Gold), and turn it into dashboards and insights. Mostly Python, SQL, AWS, Databricks, Snowflake, dbt, Airflow and n8n. I keep things simple, explain them in plain words, and deliver code you can actually maintain. Message me before ordering, happy to scope your task.... Lee más

Habilidades

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vadym_samson
Vadym S.
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

ETL de datos
I will build a python etl pipeline from any API to your database
DeUSD 60 / proyectoMás información
Integraciones de IA
I will build n8n automation workflows with ai and apis
DeUSD 90 / proyectoMás información

Experiencia laboral

Freelance

Data Engineer

Freelance • Tiempo completo

Jul 2021 - Present • 5 yrs 4 mos

Delivered data engineering projects for clients across hospitality, e-commerce, retail and marketing analytics, often as the sole or lead data engineer. Hospitality platform (3+ years) - Built POS and partner API integrations with daily incremental ingestion and Bronze/Silver/Gold data modeling on AWS (Lambda, EventBridge, API Gateway, S3, SNS, Glue) - Added retries, monitoring, alerting and secure secret handling (Secrets Manager, least-privilege IAM) - Built a schema validation process so source changes couldn't silently break downstream reports - Built a monthly data preparation and ML forecasting pipeline (XGBoost) for 4,500+ hotels, plus a 6–12 month revenue forecast - Designed n8n AI workflows generating structured recommendations for thousands of hotels in parallel - Built a self-service tool that generates Terraform pull requests for provisioning S3, SFTP, IAM and secrets Marketing analytics on Databricks - Modeled connector data into Silver and Gold SQL layers, optimized tables and built KPI dashboards and AI-powered Q&A over the data E-commerce analytics - Stabilized and rewrote failing Spark jobs orchestrated by Airflow; improved batch and streaming pipelines (Kafka, S3, Hive, Druid) - Built Silver/Gold layers for BI dashboards (Superset, QuickSight) ETL automation - Built dbt + Airbyte + Airflow pipelines into PostgreSQL and BigQuery with data quality checks and alerting, cutting failed runs by ~30–40% Other - Event-driven API ingestion to GCP Pub/Sub, Spark/Delta Lake optimization on Azure Databricks, sales forecasting data prep in ClickHouse, early-stage startup backend and data design