On-prem Big Data and Cloud expertise—focused on reliability, speed, and value.
Design and implement scalable, secure data platforms on cloud or on-prem with clean layers and future-proof foundations.
Build reliable, testable pipelines with modern tooling (Spark, SQL, Airflow) for faster loads and fewer failures.
Move workloads to Azure cleanly, right-size compute and storage, cut waste without hurting performance.
Deliver low-latency insights with Kafka/Spark Streaming from event ingestion to near-real-time dashboards.
Automated checks, SLAs and alerts. Know when data breaks and how to fix it before users notice.
Infrastructure automation, CI/CD pipelines, and monitoring. Deploy faster, fail less, recover quicker.
Modern tools and technologies for data engineering and cloud solutions.
Azure
AWS
Apache Spark
Python
SQL
Kafka
Airflow
Azure Data Factory
Docker
Informatica
Databricks
Azure Storage
Hadoop
Cosmos DB
Git
Grafana
SonarQube
Jenkins
Building data solutions across diverse industries and technologies.
PwC
January 2025 – Present
Komerční banka
October 2021 – Present
DODO
July 2022 – December 2023
Amrest
March 2021 – October 2021
Validated expertise in cloud technologies and data engineering solutions.
Microsoft
Demonstrates expertise in designing and implementing data solutions using Azure data services, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Validated Expertise
DP-203Dual master's degrees combining data analytics and economics for comprehensive business understanding.
Prague University of Economics and Business
Sep 2021 - Jan 2024
Prague University of Economics and Business
Sep 2020 - Jun 2024
Schedule a meeting to discuss your data engineering needs