Attila is available for hire
Hire AttilaAttila Tozser
Verified Expert in Engineering
Data Engineer and Developer
Location
Munich, Bavaria, Germany
Toptal Member Since
September 29, 2021
Attila is a senior data engineer with 14 years of experience, initially specializing in data warehousing and then big data and machine learning. He has worked on large-scale use cases with over 100TB of data and excelled in challenging environments. Attila's industry experience is backed by a master's degree in technical informatics and certifications in Azure data science, Databricks, and DevOps, and AI engineering.
Portfolio
Freelance
MapR, Azure, Azure Data Lake, Big Data, Big Data Architecture, Hadoop, Ansible...
E.ON
Azure Machine Learning, Azure Databricks, Azure Data Factory...
Amadeus
MapR, MongoDB, Puppet, DevOps, NoSQL, Big Data
Experience
Availability
Part-time
Preferred Environment
Azure, Azure DevOps, Azure Data Factory, Azure Databricks
The most amazing...
...things I've achieved were becoming a MongoDB Master in 2016 and receiving a MongoDB Innovation Award in 2015 for building a real-time analytics engine.
Work Experience
Senior Data Engineer
2019 - PRESENT
Freelance
- Co-developed a large-scale data lake infrastructure in Azure cloud while working as an Azure big data and DevOps consultant.
- Supported several implementation and architecture projects (DevOps for big data) while serving as a technical consultant.
- Further developed a several-hundred terabyte MapR Hadoop environment while working as a big data architect.
- Optimized several processes from dozens of hours of runtime to minutes. This included DevOps automation of maintenance tasks in Ansible and Puppet.
- Served as a senior data scientist for a computer vision object recognition and identification application in the pharmaceutical industry. The technology stack included Google Cloud AI Platform services, GKE, Exoscale, TensorFlow, and OpenCV.
Technologies: MapR, Azure, Azure Data Lake, Big Data, Big Data Architecture, Hadoop, Ansible, Puppet, Data Engineering, Azure Databricks, Azure DevOps
Manager, Data Engineering
2017 - 2019
E.ON
- Managed a multi-cloud, big data environment on Azure Data Lake Storage Gen 1 and Azure Databricks, including the industrialization of POC applications for serverless and service-based infrastructure.
- Maintained 20+ machine learning applications in production with a team of five data and machine learning engineers, providing predictive services for global holdings, predictive maintenance, trading forecasts, and many more.
- Built the team of engineers from zero to ten. Managed the hiring process, including the selection of candidates and technical interviews, and played a key role in people development.
Technologies: Azure Machine Learning, Azure Databricks, Azure Data Factory, Google Cloud Platform (GCP), Azure DevOps, Big Data, Azure Data Lake, Serverless Architecture, Team Management, Technical Hiring, Data Engineering, Azure
Senior Technical Manager
2016 - 2017
Amadeus
- Served as a consultant for problem analysis and incident recovery for the in-scope infrastructure and as the main technical contact for internal and vendor support organizations.
- Designed DevOps concepts and enterprise integration of NoSQL big data solutions.
- Trained staff and supported the creation of documentation.
Technologies: MapR, MongoDB, Puppet, DevOps, NoSQL, Big Data
System Engineer, Big Data
2013 - 2016
Amadeus
- Designed and deployed large-scale MongoDB, Couchbase, and Hadoop clusters, involving 100TB+ scale with tens of clusters and hundreds of shards.
- Managed big data on hundreds of servers with end-to-end automation using Puppet, Ansible, and MongoDB Ops Manager.
- Participated in communities and conferences and organized a local meetup group for MongoDB.
Technologies: MapR, MongoDB, Puppet, Couchbase, Hadoop, Big Data, Ansible
Developer
2011 - 2013
Phonedeck GmbH
- Participated in the development in one of the first mobile push notification services.
- Built data analytics capabilities business process enhancement, AWS cost optimization, user acquisition optimization, and funnel analytics.
- Managed a fully scalable automated infrastructure on AWS for 10,000+ real-time connected mobile devices and several hundred thousand active users.
Technologies: Amazon Web Services (AWS), AWS Elastic Beanstalk, Amazon Elastic MapReduce (EMR), Data Analytics
System Administrator
2009 - 2011
Budapest Corvinus University ISZK
- Managed the server infrastructure of the central IT services of the university.
- Acted as the technical specialist in the public procurement process of new hardware and software infrastructure items.
- Managed the tape backup infrastructure based on IBM technology.
Technologies: Solaris, Bash, DHCP, IBM Tivoli Storage Manager
Data Warehouse Developer
2009 - 2011
MI Software kft.
- Developed a POC project to migrate a TB-scale data warehouse to open-source technologies.
- Implemented several reports in Microsoft BI technologies for a large telecommunication company.
- Optimized SSIS ETL processes to run faster and cheaper for various clients.
Technologies: Microsoft SQL Server, SQL Server Reporting Services (SSRS), SSAS, Microsoft Data Transformation Services (now SSIS), Pentaho, Data Warehousing, Database Migration, Proof of Concept (POC), Open-source Software (OSS), ETL
Developer
2007 - 2009
IQSYS Zrt.
- Developed SAS-based ETL pipelines for several Hungarian banks.
- Participated in the development of compliance reports for Hungarian authorities at several Hungarian Banks.
- Developed automation to copy SAS-based data warehouse environments to support different development scenarios and testing.
Technologies: SAS, ETL, Data Warehousing
Experience
Data Lake Migration (Azure Data Lake Storage Gen 1 to Gen 2)
Co-developed a large-scale Azure Data Lake infrastructure while supporting several projects as a technical consultant for implementation and architecture (DevOps for big data). Also served as an Azure big data and DevOps consultant.
Key Activities
• Designed and implemented Azure DevOps tooling for Azure Data Factory and Azure Databricks.
• Conceptualized and implemented Azure Data Lake Storage Gen 2 security. - Developed meta and master data management tooling.
• Developed Spark on Azure Databricks.
• Migrated Azure Data Lake Storage Gen 1 to Gen 2.
Tech Stack
Azure DevOps, Azure Data Lake Storage Gen 1 and Gen2, Azure Data Factory, Azure Databricks, Microsoft SQL Server, PowerBI
Key Activities
• Designed and implemented Azure DevOps tooling for Azure Data Factory and Azure Databricks.
• Conceptualized and implemented Azure Data Lake Storage Gen 2 security. - Developed meta and master data management tooling.
• Developed Spark on Azure Databricks.
• Migrated Azure Data Lake Storage Gen 1 to Gen 2.
Tech Stack
Azure DevOps, Azure Data Lake Storage Gen 1 and Gen2, Azure Data Factory, Azure Databricks, Microsoft SQL Server, PowerBI
Education
2003 - 2010
Master's Degree in Technical Informatics
Budapest University of Technology and Economics - Budapest, Hungary
Certifications
MAY 2021 - PRESENT
Azure Data Scientist Associate
Microsoft
MAY 2021 - PRESENT
Azure AI Engineer Associate
Microsoft
APRIL 2020 - APRIL 2022
Azure DevOps Engineer Expert
Microsoft
MARCH 2020 - MARCH 2022
Microsoft Azure Administrator Associate
Microsoft
MARCH 2019 - PRESENT
AWS Solutions Architect – Associate
Amazon Web Services
JANUARY 2019 - PRESENT
Databricks Certified Developer for Apache Spark 2.x for Scala
Databricks
DECEMBER 2017 - PRESENT
Microsoft Certified Solutions Expert: (Azure) Cloud Platform and Infrastructure
Microsoft
MAY 2014 - PRESENT
MongoDB Certified Developer, Associate Level
MongoDB University
JANUARY 2014 - PRESENT
Cloudera Certified Administrator for Apache Hadoop (CDH4)
Cloudera
DECEMBER 2013 - PRESENT
MongoDB Certified Database Administrator, Associate Level
MongoDB University
Skills
Languages
Python, Bash, SAS
Frameworks
Spark, Hadoop
Paradigms
ETL, Azure DevOps, DevOps, Serverless Architecture
Platforms
MapR, Azure, Google Cloud Platform (GCP), Amazon Web Services (AWS), AWS Elastic Beanstalk, Pentaho, Solaris
Storage
NoSQL, Azure Blobs, MongoDB, Azure SQL, Couchbase, Microsoft SQL Server, SQL Server Reporting Services (SSRS), Database Migration
Other
Azure Data Factory, Azure Data Lake, Big Data, Data Engineering, Azure Databricks, Data Warehousing, Big Data Architecture, Team Management, Technical Hiring, Microsoft Data Transformation Services (now SSIS), DHCP, IBM Tivoli Storage Manager, Data Analytics, Proof of Concept (POC), Open-source Software (OSS)
Tools
Azure Machine Learning, Ansible, Terraform, Puppet, Amazon Elastic MapReduce (EMR), SSAS, MongoDB Shell
Libraries/APIs
Azure Cognitive Services
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