Patryk K.

Patryk K.

Senior Data Engineer

Poland
Trusted member since 2026
5 years of experience

He has delivered production-grade Lakehouse solutions using the Medallion architecture and PySpark on Databricks, migrated legacy SSIS workloads to Azure Data Factory, and developed Azure Synapse data warehouses for regulatory reporting and tax audit processes. His experience also includes Delta Live Tables (DLT), streaming data pipelines, metadata-driven SQL generation, and Apache Airflow orchestration on Kubernetes.

Known for his analytical mindset and attention to detail, he excels at solving complex data engineering challenges while building reliable, scalable, and maintainable data platforms. He collaborates effectively with cross-functional teams and consistently delivers high-quality solutions that support business-critical analytics and decision-making.

Main expertise

Data EngineeringData Engineering5 years
SQLSQL5 years
DatabricksDatabricks3 years
Azure Data FactoryAzure Data Factory3 years
2+

Experience4

Lingaro

Data Engineer

Lingaro
Information Technology (IT) and Services
Jun 2025 · 1y 4m
  • Developed scalable batch and streaming data pipelines on Azure Databricks using PySpark and Spark SQL
  • Designed and maintained Medallion architecture (Bronze, Silver, Gold) and Delta Live Tables (DLT) pipelines
  • Built real-time ingestion pipelines integrating Debezium CDC with Kafka
  • Managed data governance and secure access with Unity Catalog and Azure Key Vault
  • Orchestrated workflows with Databricks Workflows and managed deployments using Databricks Asset Bundles and Git
  • Integrated REST APIs and Azure Data Lake Storage (ADLS), processing CSV, JSON, and Parquet datasets
  • Used Databricks SQL Warehouses for data validation, troubleshooting, and analytical queries
DockerDocker
DatabricksDatabricks
Apache SparkApache Spark
PythonPython
KubernetesKubernetes
9+
Incubly

Data Engineer

Incubly
Information Technology (IT) and Services
Nov 2024 - May 2025 · 6m
  • Contributed to the development of an open-source data platform built on Apache technologies
  • Orchestrated data pipelines with Apache Airflow running on Kubernetes
  • Developed dbt models on Trino using Apache Iceberg tables
  • Managed data pipelines across S3, Hive, Iceberg, and Apache Druid
  • Processed streaming events from Redpanda (Kafka-compatible) using Python
  • Worked in a containerized environment using Docker and Kubernetes
DockerDocker
PythonPython
Apache KafkaApache Kafka
SQLSQL
AWS S3AWS S3
6+
BitPeak

Data Engineer

BitPeak
Data Analytics
May 2022 - Nov 2024 · 2y 6m
  • Migrated legacy SSIS workloads to Azure Data Factory, designing and maintaining scalable cloud ETL pipelines
  • Developed metadata-driven T-SQL solutions and optimized SQL transformations and data loading processes
  • Built Azure Synapse pipelines and stored procedures to generate regulatory JPK tax reports from Azure Data Lake data
  • Developed batch data pipelines in Azure Databricks using PySpark, Spark SQL, and Delta Live Tables (DLT)
  • Designed Medallion architecture (Bronze, Silver, Gold) and processed CSV, JSON, and Parquet data stored in Azure Data Lake Storage
  • Used Databricks SQL Warehouses to validate data quality and troubleshoot production pipelines
DatabricksDatabricks
T-SQLT-SQL
SQLSQL
Azure Data FactoryAzure Data Factory
ELT
7+
BitPeak

Junior SQL Developer

BitPeak
Data Analytics
Feb 2022 - May 2022 · 3m

Oracle Data Warehouse

  • Development and maintenance of a large-scale Oracle data warehouse.

  • Developed and maintained ETL processes using Oracle Data Integrator (ODI) for new and existing mappings.

  • Wrote and optimized PL/SQL stored procedures for data transformation.

  • Designed and maintained Oracle Database objects.

  • Performed data source analysis and supported daily ETL operations.

  • Built OLAP cubes for analytical reporting.

SQLSQL
OracleOracle
ELT
PL/SQLPL/SQL
ETLETL
Oracle Data IntegratorOracle Data Integrator

Engineering excellence

All Senior Data Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Senior Data Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Patryk stands.

050100150200250300Engineering excellence scoreShare of engineersmedianmeanProxifyacceptancethreshold
Patryk
Score 188 · Top 11% of engineers

Certificates 1

Databricks, Inc.
Databricks Certified Data Engineer AssociateDatabricks, Inc.

Issued Jun 2024 - Expires Jun 2026

DatabricksDatabricks
Data EngineeringData Engineering
Databricks, Inc.
Databricks Certified Data Engineer AssociateDatabricks, Inc.

Issued Jun 2024 - Expires Jun 2026

DatabricksDatabricks
Data EngineeringData Engineering
Do you want to know more about Patryk’s certifications?Book a call

Education

TUO
Technical University of Lodz
Computer science2023 - 2026
TUO
Technical University of Lodz
Computer science2018 - 2022

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