Peter Paluska

Staff Big Data Engineer
From data chaos to clarity.

Passionate about distributed data processing. Building scalable architectures where traditional methods fail to succeed. Specialized in bridging the gap between raw data and actionable intelligence.

BIG DATA CLOUD COMPUTING MACHINE LEARNING
Profile photo
Szeged, Hungary
peter@paluska.dev linkedin.com/in/paluskapter

Core Skills

  • DATABRICKS / SPARK
  • AI / ML
  • PYTHON + SQL

Languages

  • HUNGARIAN NATIVE
  • ENGLISH FLUENT
  • ITALIAN ELEMENTARY

Top Credentials

DATABRICKS DATA ENGINEER PROFESSIONAL

GOOGLE PROFESSIONAL DATA ENGINEER

MICROSOFT AZURE DATABRICKS DATA ENGINEER ASSOCIATE

Experience

Data Engineering Competence Lead

2021 — PRESENT

LUFTHANSA SYSTEMS HUNGARY

Focusing on both techinal leadership and development / architecture. Establishing best practices and scalable architectures, assessing new data projects, organising knowledge shares, supporting and growing the Data Engineer team, developing a university course, centralising big data pipelines and warehouses in Azure.

Senior Data Engineer

2019 — 2021

BLACK SWAN DATA

Worked on a social prediction tool with the help of NLP for companies who want more insight about their customers and the new trends. Closely worked with Data Scientists, helped them in the scaling of their machine learning pipelines. Line managed a team of 5 Data Engineers on various levels, and helped them a lot with their career development.

Senior Big Data Developer

2018 — 2019

REACH SOLUTIONS

Took part in the creation of a data platform for manufacturers who want to step up to the Industry 4.0 league. The platform includes lots of reports and real-time dashboards. Worked closely with clients to explore their needs and helped the team in the infrastructure maintenance as well, besides working on the ETL pipelines.

Big Data Developer

2016 — 2018

EPAM SYSTEMS

Worked with an industry-leading online hotel business partner to make their data meaningful. Created lots of batch data processing pipelines both for on-premises and cloud systems. Maintained and enlarged their existing big data warehouse.

Full Stack Developer

2015 — 2016

RABIT SOFTWARE ENGINEERING

Developed web applications with various technologies and languages.

Education

John Von Neumann University

MSc MBA (2021 – 2023)

Thesis: Employee retention strategies for IT specialists Specialization: Corporate Management

University of Szeged

BSc Computer Science (2012 – 2017)

Thesis: Machine learning with Microsoft Azure

Volunteering

Alumni Mentor

University of Szeged

Mentoring university students about programming, career paths, artificial intelligence, big data and just IT in general.