Data & AI Engineer

Cloud Architecture | Data Platforms | Generative AI

Certified Google Professional BigQuery Expert | MSc Computer Science | MA Economics

View My Work

Core Expertise

Specialized in designing and implementing scalable data platforms, cloud infrastructure, and modern data warehouse solutions.

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Cloud Architecture & Infrastructure

Designing scalable GCP, AWS, and Azure solutions with focus on cost optimization and reliability

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Data Warehouse & Analytics

BigQuery expertise with petabyte-scale data platforms, ETL/ELT, real-time streaming, and data modeling

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Generative AI & LLMs

Implementing AI solutions with Gemini, VertexAI, LangGraph, and LlamaIndex for enterprise applications

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Data Integration & Pipelines

Building robust ETL/ELT pipelines with Apache Airflow, Kafka, and modern orchestration tools

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Infrastructure Automation

Infrastructure-as-Code with Terraform, CI/CD pipelines, and DevOps practices

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Technical Leadership

Leading data practices, mentoring teams, and driving strategic technology initiatives

Professional Experience

Principal Data & AI Engineer

Feb 2022 - Present

globallogic.com

  • ✓Medical devices assistant application providing health measures and insights for end users and professionals
  • ✓Financial agentic application for industry market data gathering and decision-making insights
  • ✓GCP chatbot leveraging Google Drive resources for company-wide sales project support (BigQuery, VertexAI, Gemini, Cloud Run, Cloud Functions, AppsScript, Neo4j)
  • ✓Multimodal RAG solution with PDF document processing and quality evaluation (LlamaIndex, Gemini, GPT 4o)
  • ✓Leading Poland Data Practice, managing team and cooperation with global data architecture team
  • ✓Architecting modern data warehouse solutions for batch and stream processing
  • ✓Implementing generative AI utilization for analytics insights

Stack:

PythonGoogle Cloud PlatformBigQueryVertexAIGeminiLlamaIndexTerraformCloud RunNeo4j

Data Engineer

Feb 2020 - Jan 2022

getindata.com

  • ✓Led petabyte-scale Data Platform migration from GCP Dataproc to BigQuery architecture
  • ✓Implemented custom Java bitset processing in BigQuery engine
  • ✓Developed UDFs and Airflow DAGs for data pipeline orchestration
  • ✓Integrated BI tools including Data Studio, Looker, and Sisense

Stack:

BigQueryAirflowJenkinsDockerPythonJava

Cloud Data Architect

May 2019 - Feb 2020

lingarogroup.com

  • ✓Responsible for Google Cloud Platform partnership strategy
  • ✓GCP technology competency leader and certification training organizer
  • ✓Implemented project provisioning automation
  • ✓Advised on technology solutions for business development

Stack:

BigQueryAppEngineCloud RunDockerPySpark

Senior Data & AI Engineer

May 2013 - May 2019

rtbhouse.com

  • ✓Managed GCP project budgets and billings at petabyte scale
  • ✓Managed BigQuery-based analytics and data warehouse (technical and business aspects)
  • ✓Ensured GDPR compliance across data operations
  • ✓Led Core Data Lake migration from on-premise Hadoop to real-time BigQuery
  • ✓Conference speaker at Google Next 19' (San Francisco) and Next 18' (London)
  • ✓Panel discussion leader at Big Data Tech Warsaw 19' and participant at Google Cloud Day 19'

Stack:

BigQueryHadoopPythonGCP

Senior Software Engineer

Sept 2010 - April 2013

advertising.com (AOL)

  • ✓AdLearn Open Platform (DSP) - Live Ad Impression Analysis service handling 170+ million dataset with 1s response SLA
  • ✓Banner blocking management portal with REST services
  • ✓Real-Time Bidding (RTB) service handling 2 billion impressions/day with 50ms SLA

Stack:

JavaJerseyTomcatC#.NETOracleMySQLHibernate

Software Developer

April 2009 - Sept 2010

moneymate.com (MoneyMate Ltd., Dublin)

  • ✓Developed core Data Manager - service-oriented application for financial data management
  • ✓Implemented centralization, normalization, and validation stages
  • ✓Applied Agile & TDD approach with comprehensive unit testing
  • ✓Worked on projects for JP Morgan Chase, Schroders, and New Ireland Assurance

Stack:

JavaService-Oriented ArchitectureTDD

Featured Projects

Key initiatives leading to significant business impact and technical innovation

Billions of Products Service

Created a scalable solution for storing and managing multiple billions of products for thousands of internet companies with daily updates.

Technologies:

BigQueryGCPPythonREST API

Enables real-time product data access for thousands of companies with daily update capabilities

Real-time Streaming Platform

Built a prototype for streaming 20TB+ daily data from Kafka to Google Cloud Platform with transformation, validation, and deduplication.

Technologies:

KafkaBigQueryGCPPythonData Versioning

Achieved real-time ingestion at massive scale with automatic deduplication and data quality assurance

Internet Traffic Statistics Service

Engineered solution for calculating hourly and daily financial and traffic monitoring reports with migration of 5 years of historical data.

Technologies:

BigQueryGCPETLPython

Provides up-to-date, accurate statistics for both financial and IT departments

Machine Learning Features Extractor

Developed system for extracting features from 50TB+ daily structured binary data with sampling, enrichment, and quality improvements.

Technologies:

JavaPythonKafkaHadoopCrunchAerospikeSolr

Processes massive datasets daily with automatic feature engineering and data split for ML pipelines

Let's Build Something Great Together

Looking to modernize your data platform, build scalable cloud infrastructure, or leverage AI for data insights? Let's discuss your project.

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