Roman Maier
@romanmaier
I build reliable distributed data platforms and planning pipelines with PySpark, Airflow, and Python.
What I'm looking for
At AXENIX, I build and evolve PySpark data processing solutions and Apache Airflow workflows for InPlan, an integrated business planning platform used by large manufacturing companies. I own core Product Scheduling pipelines and contribute to Supply Network Planning for an FMCG manufacturer with 11 production facilities.
I turn incomplete, evolving business requirements into maintainable planning logic by working closely with analysts and product owners. I also created a reusable PySpark testing framework that validates complex planning logic against analyst-defined datasets.
Previously at EPAM Systems, I developed large-scale data platforms for Syngenta, CBH Group, Edmunds, Enovos, and VTB Bank. My work has covered weather, soil, geospatial, agricultural, automotive, energy, banking, and cloud ETL workloads across AWS and Azure.
I've spent more than nine years solving distributed processing, data-quality, integration, and performance problems with Spark, Python, Scala, Java, and cloud data services. I value automated testing, code quality, knowledge sharing, and using LLMs to investigate architecture, legacy code, refactoring, and complex issues.
Experience
Work history, roles, and key accomplishments
Worked on InPlan, an Integrated Business Planning (IBP) platform supporting demand planning, supply chain planning, and production scheduling for large manufacturing companies.
Worked primarily on the Product Scheduling and Supply Network Planning modules, implemented and customized for a large FMCG manufacturer operating a distributed network of 11 production facilities.
• Developed and evolved
Client: Syngenta (Switzerland)
Worked on agricultural data platforms providing weather, soil, and vegetation data for digital farming solutions used by agronomists, agricultural producers, and internal consulting teams.
The platform enabled data-driven decision-making for crop selection, planting schedules, environmental risk assessment, and field management using large-scale weather and geospat
Client: CBH Group (Australia)
Worked on a hybrid Azure-based data platform for one of Australia's largest agricultural companies, developing and maintaining cloud-based ETL pipelines integrating on-premises systems with Azure services.
• Developed, enhanced, and maintained ETL pipelines using Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure SQL, and on-premises data sources.
• De
Client: Edmunds (USA) — Online Automotive Marketplace
Worked on a large-scale distributed data platform supporting dealer analytics, lead attribution, sales matching, KPI calculation, and reporting for one of the leading U.S. automotive marketplaces.
The platform processed data from multiple external systems to help dealerships measure marketing effectiveness, match customer interactions with veh
Client: Enovos (Luxembourg) — Energy Provider
Worked on a greenfield MVP data platform for Luxembourg's largest electricity and natural gas provider. The platform processed smart meter measurements, prepared and aggregated energy consumption data for forecasting and operational processes, and published results to downstream systems.
• Developed Apache Spark ETL pipelines implementing core busine
Client: VTB Bank
Contributed to the development of backend services for enterprise banking systems, implementing business logic and supporting in-memory data processing.
• Developed Java microservices using Spring Boot.
• Built a service layer over Apache Ignite for in-memory business data processing.
• Implemented unit and integration tests.
• Supported onboarding of new team members.
Apache Flink (Open Source Project)
Contributed to the Apache Flink open source project, investigating and resolving issues related to distributed data processing, deployment, and Kafka integration.
• Contributed bug fixes to the Apache Flink project.
• Investigated and resolved issues related to Kafka integration and Hadoop YARN deployment.
• Improved deployment stability and resource utilizat
Education
Degrees, certifications, and relevant coursework
Samara State University
Specialist Degree, Law
2005 - 2011
Tech stack
Software and tools used professionally
Amazon Redshift
Apache Spark
AWS Glue
Apache Flink
Microsoft Azure
Amazon S3
Kubernetes
Jenkins
PySpark
PostgreSQL
Cassandra
Hadoop
HBase
Spring Boot
Yarn
Databricks
Python
Java
Kafka
RabbitMQ
Azure Monitor
Amazon DynamoDB
Elasticsearch
Apache Thrift
Azure SQL Database
Airflow
Apache Oozie
SQL
Azure Blob Storage
Apache Ignite
Factory
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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