Daniel Srp

Daniel Srp

DATA ENGINEER / CLOUD ENGINEER

Turning data into value across Big Data and Cloud ecosystems.

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This is How I Can Help You Grow

On-prem Big Data and Cloud expertise—focused on reliability, speed, and value.

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Data Platform Architecture

Design and implement scalable, secure data platforms on cloud or on-prem with clean layers and future-proof foundations.

ETL/ELT Pipelines

Build reliable, testable pipelines with modern tooling (Spark, SQL, Airflow) for faster loads and fewer failures.

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Cloud Migration

Move workloads to Azure cleanly, right-size compute and storage, cut waste without hurting performance.

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Real-time Data

Deliver low-latency insights with Kafka/Spark Streaming from event ingestion to near-real-time dashboards.

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Data Quality

Automated checks, SLAs and alerts. Know when data breaks and how to fix it before users notice.

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DevOps & IaC

Infrastructure automation, CI/CD pipelines, and monitoring. Deploy faster, fail less, recover quicker.

Technologies I Work With

Modern tools and technologies for data engineering and cloud solutions.

Cloud Platforms

Azure Azure
AWS AWS

Data Processing

Apache Spark Apache Spark
Python Python
SQL SQL
Kafka Kafka

Orchestration

Airflow Airflow
Azure Data Factory Azure Data Factory
Docker Docker
Informatica Informatica

Data Storage

Databricks Databricks
Azure Storage Azure Storage
Hadoop Hadoop
Cosmos DB Cosmos DB

Tools

Git Git
Grafana Grafana
SonarQube SonarQube
Jenkins Jenkins

Professional Experience

Building data solutions across diverse industries and technologies.

Cloud Data Engineer

PwC

January 2025 – Present

  • Lead migration of on-premise data systems to Azure Databricks platform for CEZ Prodej, a. s.
  • Design and optimize scalable Python/SQL data pipelines for enterprise-level data processing
  • Implement cloud-based data transformations ensuring seamless integration with downstream analytics
  • Develop comprehensive reporting solutions and maintain data quality standards
Databricks Azure Python SQL

Big Data Engineer

Komerční banka

October 2021 – Present

  • Engineer and maintain enterprise-scale big data pipelines on BDP platform using Apache Spark, Kafka, and Hadoop
  • Automate complex workflows with Python and Bash scripting, significantly reducing development time
  • Lead comprehensive application monitoring and performance optimization across BDP environment
  • Deliver technical training and best-practice guidance to development teams
Hadoop (HDFS, Hive, Impala) Apache Spark Kafka Airflow Python Bash

Data Engineer

DODO

July 2022 – December 2023

  • Designed and maintained robust ETL pipelines in Microsoft Azure using Cosmos DB and Data Lake
  • Built scalable Python/SQL workflows orchestrated with Apache Airflow for automated data processing
  • Developed innovative Jira-based extraction tool to automate client billing processes
  • Ensured data integrity and performance optimization across all data engineering solutions
Azure Cosmos DB Airflow Python

Data Analyst

Amrest

March 2021 – October 2021

  • Developed centralized reporting platform for KFC department using Power BI, VBA, and Excel
  • Consolidated fragmented reports across multiple departments into unified dashboard solutions
  • Streamlined data workflows and significantly improved organizational data transparency
  • Provided data analysis and insights to support strategic business decision-making
Power BI VBA Excel

Professional Certifications

Validated expertise in cloud technologies and data engineering solutions.

Azure Data Engineer Associate

Azure Data Engineer Associate

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-203

Academic Background

Dual master's degrees combining data analytics and economics for comprehensive business understanding.

Master's degree (Ing.), Faculty of Informatics and Statistics

Prague University of Economics and Business

Sep 2021 - Jan 2024

  • Focus: Data Analytics, Data Warehousing, Programming, Data Engineering, ML
  • Finalist: Data Project Competition (NFT project)
  • Master thesis: Near real-time Big Data application in a data lake (design, development, monitoring, documentation)

Master's degree (Ing.), Faculty of Economics

Prague University of Economics and Business

Sep 2020 - Jun 2024

  • Focus: Microeconomics, Macroeconomics, National Economy
  • Master thesis: ASEAN and prospects of a monetary union (OCA indicators, correlation & cluster analysis)

Let's Talk

Schedule a meeting to discuss your data engineering needs

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Phone

+420 724 581 008

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