Stanisław Smyl

Senior Data Engineer @ New York Mets

About

Data Engineer focused on Google Cloud Platform and Python developer.

Country

Poland

City

Warsaw

Industry

Computer Software

Skill

Vertex AI, Data Maintenance, Data Engineering, Amazon Redshift, PostgreSQL, Amazon Web Services (AWS), Kubeflow, Apache Airflow, dbt, Kubernetes, Data analysis, Python, Google Cloud Platform (GCP), Machine Learning, Cloud Computing, Deep Learning, Data Science, R, JavaScript, jQuery

Experience

Senior Data Engineer

New York Mets

2024-1 - Present · 2 yrs 9 mos

ELT using Apache Airflow + BigQuery + dbt. Machine Learning Ops using Kubeflow Pipelines. Infra as a code with Terraform. Google Cloud Platform.

Data Engineer

New York Mets

2021-9 - 2023-12 · 2 yrs 4 mos

ELT using Apache Airflow + BigQuery + dbt. Machine Learning Ops using Kubeflow Pipelines. Infra as a code with Terraform. Google Cloud Platform.

Data Engineer

Docplanner

2021-6 - 2021-8 · 3 mos

Warsaw, Mazowieckie, Poland

ETL using Apache Airflow + Redshift.

Data Scientist

PwC Polska

2020-10 - 2021-5 · 8 mos

Warsaw, Mazowieckie, Poland

Stack: Python, Pyspark, SQL Server, Docker, Kubernetes, Jenkins

Data Scientist

Accenture

2019-12 - 2020-10 · 11 mos

Warsaw, Masovian District, Poland

Stack: Python, Natual Language Processing, SQL, NoSQL, Google Cloud Platform, BigQuery, Apache Beam, Machine Learning, Deep Learning, REST API, SpaCy, Pytorch, transformers, serverless computing, Docker, seaborn, PowerBI, Elasticsearch. I apply Natural Language Processing tools to analyze terabytes of unstructured text data and model them, using both rule-based and Deep Learning solutions, primarily in Python. I use Google Cloud Platform for a fully-automated data engineering pipeline.

Junior Data Scientist

Accenture

2018-9 - 2019-11 · 1 yr 3 mos

Warsaw, Masovian District, Poland

Google Cloud Platform, Python, R, R Studio, R Shiny, Natual Language Processing, SQL, BigQuery, Machine Learning, Deep Learning, REST API, ggplot2, matplotlib, seaborn.